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  • Taylor_&_Francis_Articles(11Nov2023) (3).zip

    本附件包括：
    • 00-Latent Gaussian Count Time Series.pdf
  • 994.81 KB
  • 2023-11-12

  • Econometrics in Theory and Practice.rar
       Econometrics in Theory and Practice

    本附件包括：
    • List.pdf
    • Part I Introductory Econometrics.pdf
    • Part II Advanced Analysis of Cross Section Data.pdf
    • Part III Analysis of Time Series Data.pdf
    • Part IV Analysis of Panel Data.pdf
  • 10.56 MB
  • 2023-6-29

  • Forecasting Time Series Data(2021).zip

    本附件包括：
    • Forecasting Time Series Data(2021).pdf
  • 8.43 MB
  • 2022-2-1

  • 伍德里奇导论stata程序及相应的结果.rar
       伍德里奇导论stata程序及相应的结果

    本附件包括：
    • Chapter 16 - Simultaneous Equations Models.pdf
    • Chapter 17 - Limited Dependent Variable Models and Sample Selection Corrections.pdf
    • Chapter 18 - Advanced Time Series Topics.pdf
    • wooldridge 3rd.pdf
    • Wooldridge data sets.pdf
    • 伍德里奇课本的所有stata程序以及相应的结果输出.mht
    • Chapter 2 - The Simple Regression Model.pdf
    • Chapter 3 - Multiple Regression Analysis Estimation.pdf
    • Chapter 4 - Multiple Regression Analysis Inference.pdf
    • Chapter 5 - Multiple Regression Analysis OLS Asymptotics.pdf
    • Chapter 6 - Multiple Regression Analysis Further Issues.pdf
    • Chapter 7 - Multiple Regression Analysis with Qualitative Information Binary (or Dummy) Variables.pdf
    • Chapter 8 - Heteroskedasticity.pdf
    • Chapter 9 - More on Specification and Data Problems.pdf
    • Chapter 10 - Basic Regression Analysis with Time Series Data.pdf
    • Chapter 11 - Further Issues in Using OLS with Time Series Data.pdf
    • Chapter 12 - Serial Correlation and Heteroskedasticity in Time Series Regressions.pdf
    • Chapter 13 - Pooling Cross Sections Across Time. Simple Panel Data Methods.pdf
    • Chapter 14 - Advanced Panel Data Methods.pdf
    • Chapter 15 - Instrumental Variables Estimation and Two Stage Least Squares.pdf
  • 5.18 MB
  • 2021-10-27

  • Interpreting the macroeconomic time series facts：The effects of monetary policy.zip

    本附件包括：
    • Interpreting the macroeconomic time series facts：The effects of monetary policy.pdf
  • 1.09 MB
  • 2020-10-18

  • 自动生成时间序列-年月日时分秒.rar
       Time series

    本附件包括：
    • 自动生成时间序列-年月日时分秒.xlsm
  • 14.23 KB
  • 2020-7-16

  • 9781629605463.pdf
       SAS® for Forecasting Time Series, Third Edition

  • 19.31 MB
  • 2020-5-25

  • 9781629597492.pdf
       Multiple Time Series Modeling Using the SAS® VARMAX Procedure

  • 22.12 MB
  • 2020-5-25

  • c646a65ad093171712391ed726a716f7.zip
       1-19打包版

    本附件包括：
    • 10_Basic Regression Analysis with Time Series Data.ppt
    • 11_Further Issues in Using OLS with Time Series Data.ppt
    • 12_Serial Correlation and Heteroskedasticity in Time Series Regressions.ppt
    • 13_Pooling Cross Sections across Time_Simple Panel Data Methods.ppt
    • 14_Advanced Panel Data Methods.ppt
    • 15_Instrumental Variables Estimation and Two Stage Least Squares.ppt
    • 16_Simultaneous Equations Models.ppt
    • 17_Limited Dependent Variable Models and Sample Selection Corrections.ppt
    • 18_Advanced Time Series Topics.ppt
    • 19_Carrying Out an Empirical Project.ppt
    • 1_The Nature of Econometrics and Economic Data.ppt
    • 2_The Simple Regression Model.ppt
    • 3_Multiple Regression Analysis_Estimation.ppt
    • 4_Multiple Regression Analysis_Inference.ppt
    • 4_Multiple Regression Analysis_Inference2.ppt
    • 5_Multiple Regression Analysis_OLS Asymptotics.ppt
    • 6_Multiple Regression Analysis_Further Issues.ppt
    • 7_Multiple Regression Analysis with Qualitative Information.ppt
    • 8_Heteroskedasticity.ppt
    • 9_More on Specification and Data Issues.ppt
  • 32.2 MB
  • 2020-1-8

  • James Douglas Hamilton - Time Series Analysis-Princeton University Press (1994).rar

    本附件包括：
    • James Douglas Hamilton - Time Series Analysis-Princeton University Press (1994).djvu
  • 7.17 MB
  • 2019-9-27

  • time series.rar

    本附件包括：
    • ts a data analysis approach using R.pdf
  • 32.03 MB
  • 2019-8-31

  • 时间序列分析丛书.zip

    本附件包括：
    • TimeSeries analysis and its application with R.pdf
    • Introduction to time series.pdf
  • 10.23 MB
  • 2019-8-28

  • Brown R.G. - Smoothing, forecasting and prediction of discrete time series-PH (1963).rar

    本附件包括：
    • Brown R.G. - Smoothing, forecasting and prediction of discrete time series-PH (1963).djvu
  • 4.28 MB
  • 2019-7-25

  • 时序.zip

    本附件包括：
    • numerical methods in economics kenneth Judd.pdf
    • Time Series Analysis (James D Hamilton) [Princeton, 1994].pdf
    • [Jordi_Gali]_Monetary_Policy,_Inflation,_and_the_B(z-lib.org).pdf
  • 35.57 MB
  • 2019-3-19

  • Time Series Analysis and Forecasting.rar

    本附件包括：
    • 复件 复件 复件 复件 郑大清理系统.bat
  • 435 Bytes
  • 2019-3-18

  • Applied Bayesian Forecasting and Time Series Analysis-Springer US (1994) - Andy .rar
       Bayesian Forecasting

    本附件包括：
    • Andy Pole, Mike West, Jeff Harrison (auth.) - Applied Bayesian Forecasting and Time Series Analysis-Springer US (1994).pdf
  • 10.1 MB
  • 2019-3-5

  • 论文.rar

    本附件包括：
    • CAST Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator.pdf
    • CAST- Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator.docx
    • Combining multiple feature selection methods for stock prediction_ Union, intersection, and multi-intersection approaches.pdf
    • Correlating Financial Time Series with Micro-Blogging Activity.pdf
    • Deep learning for event-driven stock prediction..pdf
    • Deep Learning for Event-Driven Stock Prediction.docx
    • Deep Learning Networks for Stock Market Analysis and Prediction_ Methodology, Data Representations, and Case Studies.pdf
    • Design and Application of Artificial Neural Networks for Predicting the Values of Indexes on the Bulgarian Stock Market.pdf
    • Do Funds Make More When They Trade More.pdf
    • Financial Time Series Segmentation Based On Turning Points.pdf
    • High Frequency Trading and Extreme Price Movements_.pdf
    • High-frequency trading strategies.pdf
    • how to design targetdate funds.pdf
    • Improving Financial Time Series Prediction Using Exogenous Series and Neural Networks Committees.pdf
    • Measuring Skill in the Mutual Fund Industry.pdf
    • Risk and Return in High-Frequency Trading .pdf
    • A Bayesian regularized artificial neural network for stock market forcasting.pdf
    • A fuzzy rule based expert system for stock evaluation and portfolio construction_ An application to Istanbul Stock Exchange .pdf
    • A method for automatic stock trading combining technical analysis and nearest neighbor classification.pdf
    • A novel text mining approach to financial time series forecasting.pdf
    • A prediction scheme using perceptually important points and dynamic time warping.pdf
    • An Autonomous Trader Agent for the Stock Market Based on Online Sequential Extreme Learning Machine Ensemble.docx
    • An autonomous trader agent for the stock market based on online sequential extreme learning machine ensemble.pdf
    • An empirical methodology for developing stockmarket trading systems using arti cial neural networks.pdf
    • An intraday market risk management approach based on textual analysis.pdf
    • Application of support vector machines in financial time 1899 series forcasting.pdf
    • Automatic High-Frequency Trading_ An Application to Emerging Chilean Stock Market.pdf
    • Automatic method for stock trading combining technical analysis and the Artificial Bee Colony Algorithm.pdf
    • Automatie Method for Stoek Trading Combining Teehnieal Analysis and the Artifieial Bee Colony Algorithm.docx
  • 17.22 MB
  • 2019-1-26

  • 1.pdf
       R For Time Series

  • 542.03 KB
  • 2018-11-30

  • (Monographs on statistics and applied probability 150) Langrock, Roland_ MacDona.zip

    本附件包括：
    • (Monographs on statistics and applied probability 150) Langrock, Roland_ MacDonald, Iain L._ Zucchini, W-Hidden Markov Models for Time Series_ An Introduction Using R-CRC Press (2016).pdf
  • 3.28 MB
  • 2018-11-29

  • (Chapman & Hall_CRC Texts in Statistical Science) West, Mike_ Prado, Raquel-Ti.zip
       【经典教材】Time Series: Modeling, Computation, and Inference 作者：West, Mike;

    本附件包括：
    • (Chapman & Hall_CRC Texts in Statistical Science) West, Mike_ Prado, Raquel-Time Series_ Modeling, Computation, and Inference-Chapman a.pdf
  • 9.02 MB
  • 2018-11-13

  • tsa4.pdf
       Time series analysis and its applications with R examples 第四版

  • 5.72 MB
  • 2018-11-10

  • (2017)Time Series Analysis and Its Applications__4th__Robert H. Shumway, David S.rar

    本附件包括：
    • (2017)Time Series Analysis and Its Applications__4th__Robert H. Shumway, David S. Stoffer.pdf
  • 8.83 MB
  • 2018-11-4

  • (2017)Introduction to Time Series and Forecasting__3rd__Peter J. Brockwell, Rich.rar

    本附件包括：
    • (2017)Introduction to Time Series and Forecasting__3rd__Peter J. Brockwell, Richard A. Davis.pdf
  • 5.2 MB
  • 2018-11-4

  • (2011)Time Series Analysis and Its Applications_With R Examples_Robert H. Shumwa.rar

    本附件包括：
    • (2011)Time Series Analysis and Its Applications_With R Examples_Robert H. Shumway, David S. Stoffer.pdf
  • 8.11 MB
  • 2018-11-4

  • (2008)Time Series Analysis_With Applications in R Jonathan_D. Cryer, Kung-Sik Chan.rar

    本附件包括：
    • (2008)Time Series Analysis_With Applications in R Jonathan_D. Cryer, Kung-Sik Chan.pdf
  • 4.58 MB
  • 2018-11-4

  • (2002)Introduction to time series and forecasting_ Peter J. Brockwell, Richard A.rar

    本附件包括：
    • (2002)Introduction to time series and forecasting_ Peter J. Brockwell, Richard A. Davis.pdf
  • 4.19 MB
  • 2018-11-4

  • (2001)Advanced Linear Modeling_Multivariate,Time Series,and Spatial Data_Nonpara.rar

    本附件包括：
    • (2001)Advanced Linear Modeling_Multivariate,Time Series,and Spatial Data_Nonparametric Regression and Response Surface Maximization_Ronald Christensen.pdf
  • 7.46 MB
  • 2018-11-4

  • (2013)Discrete Time Series, Processes, and Applications in Finance_Gilles Zumbach.rar

    本附件包括：
    • (2013)Discrete Time Series, Processes, and Applications in Finance_Gilles Zumbach.pdf
  • 22.54 MB
  • 2018-11-1

  • Gary koop_Bayesian Multivariate Time Series Methods for Empirical Macroeconomics.rar
       实证宏观经济学：贝叶斯多元时间序列方法

    本附件包括：
    • Bayesian Multivariate Time Series Methods for Empirical Macroeconomics.pdf
    • Bayesian_VARs_BoK.pdf
    • Big_Data_BoK.pdf
    • koop_korobilis_forecasting_inflation_using_DMA.pdf
    • koop_korobilis_Foundations_and_Trends_2010.pdf
    • Koop_Review_of_Economic_Analysis.pdf
    • Overview_BoK.pdf
    • Problem_Set_1.pdf
    • Problem_Set_2.pdf
    • TVP_VARs_BoK.pdf
  • 13.23 MB
  • 2018-8-6

  • ON THE SQUARED RESIDUAL AUTOCORRELATIONS IN NON-LINEAR TIME SERIES.zip

    本附件包括：
    • ON THE SQUARED RESIDUAL AUTOCORRELATIONS IN NON-LINEAR TIME SERIES.pdf
  • 458.99 KB
  • 2018-7-25

  • Time Series.zip

    本附件包括：
    • A Course in Time Series Analysis.pdf
    • Analysis of Financial Time Series Ruey S. Tsay.pdf
    • Introduction to Time Series and Forecasting Brockwell&Davis.pdf
    • Solutions Time Series Analysis Jonathan D. Cryer.pdf
    • Time Series Analysis and Its Applications with R Robert H. Shumway, David S. Stoffer.pdf
    • Time Series Analysis with Applications in R (2ed) Jonathan D. Cryer.pdf
    • Time Series Theory and Methods Brockwell＆Davis.pdf
  • 76.21 MB
  • 2018-5-31

  • Time Series Analysis with R.rar
       时间序列 R

    本附件包括：
    • Time Series Analysis with R.pdf
  • 697.06 KB
  • 2018-2-9

  • 4.5.zip
       4，5电子书

    本附件包括：
    • forecasting and time series an applied application.pdf
    • The_Foundations_of_Modern_Time_Series_Analysis_－_T._Mills_（Palgrave_Macmillan）.pdf
  • 89.57 MB
  • 2018-1-26

  • advances in time series analysis and forecasting (2017).rar
       advances in time series analysis and forecasting (2017)

    本附件包括：
    • advances in time series analysis and forecasting (2017).pdf
  • 8.21 MB
  • 2018-1-23

  • Multivariate Modelling of Non-Stationary Economic Time Series (Palgrave Texts in.rar

    本附件包括：
    • Multivariate Modelling of Non-Stationary Economic Time Series (Palgrave Texts in Econometrics).pdf
  • 3.94 MB
  • 2018-1-16

  • Time series analysis and its applications.zip
       使用R学习时间序列

    本附件包括：
    • Time_Series_Analysis_and_its_Applications_with_R_Examples_4th_ed._（2017）.pdf
  • 9.08 MB
  • 2017-12-18

  • NEURAL NETWORKS TIME SERIES using MATLAB. PREDICTION and MODELING.rar

    本附件包括：
    • NEURAL NETWORKS TIME SERIES using MATLAB. PREDICTION and MODELING.azw3
  • 2.32 MB
  • 2017-12-7

  • Pandas Cookbook - Recipes for Scientific Computing, Time Series Analysis and Dat.rar

    本附件包括：
    • Pandas Cookbook - Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python.azw3
  • 13.47 MB
  • 2017-10-26

  • Buch.zip
       HMM Time Series课程资料作业

    本附件包括：
    • ch3_slides.pdf
    • ch3_solutions.pdf
    • ch4_slides.pdf
    • ch4_solutions.pdf
    • ch5_slides.pdf
    • ch5_solutions.pdf
    • ch6_slides.pdf
    • ch6_solutions.pdf
    • ch8_slides.pdf
    • ch8_solutions.pdf
    • Exercise.R
    • Hidden Markov Models for Time Series An Introduction Using R.pdf
    • Mixed Hidden Markov Models-An extension of the Hidden Markov Model to the Longitudinal Data Setting.pdf
    • myklimdata.txt
    • nspr.ps
    • parest_thet05.txt
    • parest_thet15.txt
    • soap.txt
    • week7_notes.pdf
    • week9_notes.pdf
    • week10_example.pdf
    • week10_solutions.pdf
    • week13_example.pdf
    • winddata.txt
    • writtenexercise1.pdf
    • writtenexercise2.pdf
    • writtenexercise3.pdf
    • 2006_Zucchini Bulla Berzel_Lecture notes HMM.pdf
    • ch1_slides.pdf
    • ch1_solutions.pdf
    • ch2_slides.pdf
    • ch2_solutions.pdf
  • 9.74 MB
  • 2017-10-16

  • Practical Time Series Analysis - Master Time Series Data Processing, Visualizati.rar

    本附件包括：
    • Practical Time Series Analysis - Master Time Series Data Processing, Visualization, and Modeling using Python.azw3
  • 5.41 MB
  • 2017-10-14

  • Use R！(2009A-2012G).rar

    本附件包括：
    • 2009.Applied Statistical Genetics with R_ For Population-based Association Studies(2009).pdf
    • 2009.Bayesian Computation with R(2009).pdf
    • 2009.Dynamic Linear Models with R(2009).pdf
    • 2009.Functional data analysis with R and MATLAB(2009).pdf
    • 2009.ggplot2_ Elegant Graphics for Data Analysis(2009).pdf
    • 2009.Introductory Time Series with R(2009).pdf
    • 2009.R Through Excel_ A Spreadsheet Interface for Statistics, Data Analysis, and Graphics(2009).pdf
    • 2010.Introducing Monte Carlo Methods with R(2010).pdf
    • 2010.Introduction to probability simulation and Gibbs sampling with R(2010).pdf
    • 2011.An Introduction to Applied Multivariate Analysis with R(2011).pdf
    • 2011.Business Analytics for Managers(2011).pdf
    • 2011.Chemometrics with R_ Multivariate Data Analysis in the Natural Sciences and Life Sciences(2011).pdf
    • 2011.Data Mining with Rattle and R_ The Art of Excavating Data for Knowledge Discovery(2011).pdf
    • 2011.Forest Analytics with R_ An Introduction(2011).pdf
    • 2011.Numerical Ecology with R(2011).pdf
    • 2012.Analysis of Phylogenetics and Evolution with R(2012).pdf
    • 2012.Behavioral Research Data Analysis with R(2012).pdf
    • 2012.Biostatistics with R_ An Introduction to Statistics Through Biological Data(2012).pdf
    • 2012.Competing Risks and Multistate Models with R(2012).pdf
    • 2012.Graphical Models with R-Springer-Verlag New York (2012).pdf
  • 91.17 MB
  • 2017-9-15

  • Use R！(2006-2009A).rar

    本附件包括：
    • 2009.A Beginner's Guide to R(2009).pdf
    • 2006.Analysis of Phylogenetics and Evolution with R(2006).pdf
    • 2007.Bayesian computation with R-Springer (2007).pdf
    • 2007.Interactive and Dynamic Graphics for Data Analysis_ With R and GGobi(2007).pdf
    • 2008.Analysis of Integrated and Cointegrated Time Series with R(2008).pdf
    • 2008.Applied Econometrics with R(2008).pdf
    • 2008.Applied Spatial Data Analysis with R-Springer New York (2008).pdf
    • 2008.Bioconductor Case Studies(2008).pdf
    • 2008.Data Manipulation with R(2008).pdf
    • 2008.Interactive and Dynamic Graphics for Data Analysis_ With R and Ggobi(2008).pdf
    • 2008.Lattice. Multivariate Data Visualization with R-Springer (2008).pdf
    • 2008.Morphometrics with R-Springer (2008).pdf
    • 2008.Nonlinear Regression with R(2008).pdf
    • 2008.Statistical Methods for Environmental Epidemiology with R_ A Case Study in Air Pollution and Health(2008).pdf
    • 2008.Wavelet Methods in Statistics with R(2008).djvu
    • 2008.Wavelet Methods in Statistics with R(2008).pdf
  • 57.47 MB
  • 2017-9-15

  • Springer Series in Statistics(2005-2006).rar

    本附件包括：
    • 2005.Functional Data Analysis(2005).pdf
    • 2005.Inference in Hidden Markov Models(2005).djvu
    • 2005.Inference in Hidden Markov Models(2005).pdf
    • 2005.Models for Discrete Longitudinal Data(2005).pdf
    • 2005.Modern Multidimensional Scaling_ Theory and Applications, Second Edition(2005).pdf
    • 2005.Permutation, Parametric, and Bootstrap Tests of Hypotheses(2005).pdf
    • 2005.Statistical Demography and Forecasting-Springer (2005).pdf
    • 2006.A Modern Theory of Factorial Design (2006).pdf
    • 2006.An introduction to copulas(2006).pdf
    • 2006.Finite Mixture and Markov Switching Models(2006).pdf
    • 2006.Non-negative Matrices and Markov Chains(2006).djvu
    • 2006.Non-negative Matrices and Markov Chains(2006).pdf
    • 2006.Nonparametric Functional Data Analysis_ Theory and Practice(2006).pdf
    • 2006.Sampling Algorithms, 1st Ed (2006).pdf
    • 2006.Selected Papers of Frederick Mosteller(2006).pdf
    • 2006.Semiparametric Theory and Missing Data(2006).pdf
    • 2006.Statistical Analysis of Environmental Space-Time Processes(2006).pdf
    • 2006.Time Series_ Theory and Methods(2006).pdf
  • 68.89 MB
  • 2017-9-15

  • Springer Series in Statistics(2002S-2004).rar

    本附件包括：
    • 2002.Smoothing Spline ANOVA Models(2002).pdf
    • 2003.All of Statistics_ A Concise Course in Statistical Inference(2003).pdf
    • 2003.Bayesian Nonparametrics.djvu
    • 2003.Nonlinear Time Series,Nonparametric and Parametric Methods[Fan and Yao].pdf
    • 2003.Partial identification of probability distributions-Springer (2003).pdf
    • 2003.Resampling Methods for Dependent Data.pdf
    • 2003.Sample Survey Theory_ Some Pythagorean Perspectives(2003).pdf
    • 2003.The Design and Analysis of Computer Experiments(2003).djvu
    • 2003.Unified Methods for Censored Longitudinal Data and Causality(2003).pdf
    • 2004.Exploring Multivariate Data with the Forward Search-Springer-Verlag New York (2004).pdf
    • 2004.Introduction to Rare Event Simulation(2004).pdf
    • 2004.Monte Carlo Strategies in Scientific Computing(2004).pdf
    • 2004.Nonparametric and Semiparametric Models(2004).pdf
    • 2004.Statistical Inference for Ergodic Diffusion Processes(2004).pdf
    • 2004.Statistical Tools for Nonlinear Regression_ A Practical Guide with S-PLUS and R Examples(2004).pdf
  • 93.47 MB
  • 2017-9-15

  • Springer Series in Statistics(2000-2001B).rar

    本附件包括：
    • 2000.Asymptotic Theory of Statistical Inference for Time Series(2000).djvu
    • 2000.Asymptotics in Statistics_ Some Basic Concepts(2000).pdf
    • 2000.Gaussian and Non-Gaussian Linear Time Series and Random Fields(2000).pdf
    • 2000.Linear Mixed Models for Longitudinal Data -Springer (2000).pdf
    • 2000.Monte Carlo Methods in Bayesian Computation-Springer-Verlag New York (2000).pdf
    • 2000.Permutation Tests_ A Practical Guide to Resampling Methods for Testing Hypotheses(2000).pdf
    • 2000.Robust Diagnostic Regression Analysis(2000).pdf
    • 2000.Statistical Inference in Science(2000).pdf
    • 2001.An Introduction to Statistical Modeling of Extreme Values(2001).pdf
    • 2001.Annotated Readings in the History of Statistics(2001).pdf
    • 2001.Bayesian Survival Analysis(2001).djvu
  • 86.6 MB
  • 2017-9-15

  • Springer Series in Statistics(1992-1993).rar

    本附件包括：
    • 1992.An Introduction to Stochastic Processes and Their Applications(1992).pdf
    • 1992.ARMA Model Identification(1992).pdf
    • 1992.Breakthroughs in statistics Vol I Foundations and basic theory(1992).djvu
    • 1992.Breakthroughs in statistics Vol II Methodology and distribution(1992).djvu
    • 1992.Prediction Theory for Finite Populations(1992).pdf
    • 1992.The Bootstrap and Edgeworth Expansion(1992).pdf
    • 1992.The Use of Restricted Significance Tests in Clinical Trials(1992)=============.pdf
    • 1993.A Course on Point Processes(1993).pdf
    • 1993.Elements of Multivariate Time Series Analysis(1993).pdf
    • 1993.Forecasting the Health of Elderly Populations================.pdf
    • 1993.Statistical Design and Analysis for Intercropping Experiments Vol I Two Crops.pdf
    • 1993.Statistical models based on counting processes(1993).djvu
    • 1993.Tools for Statistical Inference_ Methods for the Exploration of Posterior Distributions and Likelihood Functions(1993).pdf
  • 90.31 MB
  • 2017-9-15

  • Springer Series in Statistics(1989-1991).rar

    本附件包括：
    • 1991.Time Series_ Theory and Methods(1991).pdf
    • 1988.Goodness-of-Fit Statistics for Discrete Multivariate Data (1988).djvu
    • 1988.Goodness-of-Fit Statistics for Discrete Multivariate Data (1988).pdf
    • 1989.Approximate Distributions of Order Statistics_ With Applications to Nonparametric Statistics(1989).pdf
    • 1989.Bayesian Forecasting and Dynamic Models (1989).pdf
    • 1990.A Statistical Model_ Frederick Mosteller’s Contributions to Sta.pdf
    • 1990.Asymptotics in Statistics_ Some Basic Concepts(1990).pdf
    • 1990.Nonlinear Estimation(1990).pdf
    • 1990.The Multivariate Normal Distribution(1990).djvu
    • 1991.Aspects of Risk Theory(1991).pdf
    • 1991.Continuous-Time Markov Chains_ An Applications-Oriented Approach(1991).pdf
    • 1991.Smoothing Techniques_ With Implementation in S(1991).pdf
  • 81.74 MB
  • 2017-9-15

  • Springer Series in Statistics(1986-1988).rar

    本附件包括：
    • 1987.Correlation Theory of Stationary and Related Random Functions Vol I Basic Results.djvu
    • 1987.Correlation Theory of Stationary and Related Random Functions Vol II Supplementary Notes and References.djvu
    • 1987.Time Series_ Theory and Methods(1987).pdf
    • 1988.Goodness-of-Fit Statistics for Discrete Multivariate Data (1988).djvu
    • 1986.Asymptotic Methods in Statistical Decision Theory(1986).pdf
    • 1986.Modern Concepts and Theorems of Mathematical Statistics(1986).pdf
    • 1986.Parameter Estimation and Hypothesis Testing in Spectral Analysis of Stationary Time Series(1986).pdf
    • 1986.Principal Component Analysis(1986).pdf
  • 90.77 MB
  • 2017-9-15

  • Springer Texts in Statistics(2014-2016).rar

    本附件包括：
    • 2016.Statistical Methods for Quality Assurance_ Basics, Measurement, Control, Capability, and Improvement.pdf
    • 2014.Basics of Modern Mathematical Statistics[Exercises and Solutions].pdf
    • 2014.Bayesian Essentials with R-Springer-Verlag New York (2014).pdf
    • 2014.Statistical Analysis of Financial Data in R【2014】.pdf
    • 2015.Basics of Modern Mathematical Statistics (2015).pdf
    • 2015.Statistical Analysis and Data Display[2015].pdf
    • 2015.Statistics and Data Analysis for Financial Engineering with R examples.pdf
    • 2016.A Course in Mathematical Statistics and Large Sample Theory-Springer-Verlag New York (2016).pdf
    • 2016.Essentials_of_Stochastic_Processes(2016 3rd_Edition).pdf
    • 2016.Introduction to Time Series and Forecasting（3rd）.pdf
    • 2016.Statistical Learning from a Regression Perspective-Springer International Publishing (2016).pdf
  • 61.13 MB
  • 2017-9-13

  • Springer Texts in Statistics(2010-2013).rar

    本附件包括：
    • 2010.Applied Probability, 2nd Edition (Kenneth Lange,2010).pdf
    • 2010.Fundamentals_of_Probability_A First Course(2010).pdf
    • 2010.Large Sample Techniques for Statistics(2010).pdf
    • 2010.Theoretical Statistics-Topics for a Core Course(2010).pdf
    • 2011.Introduction to Modeling and Analysis of Stochastic Systems(2011).pdf
    • 2011.Plane Answers to Complex Questions(4th Edition).pdf
    • 2011.Probability for Statistics and Machine Learning(2011).pdf
    • 2011.Statistics and Data Analysis for Financial Engineering(2011).pdf
    • 2011.Statistics for Bioengineering Sciences,Brani Vidakovic,2011.pdf
    • 2011.Time Series Analysis and Its Applications With R Examples(3rd Edition 2011).pdf
    • 2012.Essentials of Stochastic Processes(2012).pdf
    • 2012.Modern Mathematical Statistics with Applications(2012).pdf
    • 2013.An Introduction to Statistical Learning with Applications in R(2013).pdf
    • 2013.Applied Bayesian Statistics-With R and OpenBUGS Examples.pdf
    • 2013.Essential Statistical Inference.pdf
    • 2013.Linear Mixed-Effects Models Using R(2013).pdf
    • 2013.Optimization, Kenneth Lange, 2ed, Springer, 2013.pdf
    • 2013.Probability A Graduate Course[2013].pdf
  • 87.65 MB
  • 2017-9-13

  • Springer Texts in Statistics(2008-2009).rar

    本附件包括：
    • 2009.Statistical Analysis of Designed Experiments[2009].pdf
    • 2008.Asymptotic theory of statistics and probability(2008).pdf
    • 2008.Asymptotic_Theory_of_Statistics and Probability(2008).djvu
    • 2008.Modern Multivariate Statistical Techniques(2008).pdf
    • 2008.Statistical Design(2008).pdf
    • 2008.Statistical Models and Methods for Financial Markets(2008).pdf
    • 2008.Studying Human Populations,Nicholas T. Longford,2008.pdf
    • 2008.Time Series Analysis With Applications in R(2008 2nd edition).pdf
    • 2009.A Modern Approach To Regression With R(2009).pdf
    • 2009.An Intermediate Course in Probability(2009).pdf
    • 2009.Statistical Analysis of Designed Experiments, 3rd Edition(2009).pdf
  • 65.02 MB
  • 2017-9-13

  • Springer Texts in Statistics(2005-2007).rar

    本附件包括：
    • 2005.A Modern Introduction to Probability and Statistics Understanding Why and How(2005).pdf
    • 2005.An R and S-PLUS Companion to Multivariate Analysis(2005).pdf
    • 2005.Modelling Longitudinal Data(2005).pdf
    • 2005.Probability [A Graduate Course] (2005).pdf
    • 2005.Testing Statistical Hypotheses 3e (2005).pdf
    • 2006.All of Nonparametric Statistics(2006).djvu
    • 2006.An Introduction to Bayesian Analysis (2006).pdf
    • 2006.Measure Theory and Probability Theory(2006).pdf
    • 2006.Time Series Analysis and Its Applications_ With R Examples-Springer (2006).pdf
    • 2007.Bayesian core a practical approach to computational Bayesian statistics(2007).pdf
    • 2007.Matrix Algebra-Theory, Computations, and Applications in Statistics(2007).pdf
    • 2007.The Bayesian Choice-From Decision-Theoretic Foundations to Computational Implementation(2007).pdf
  • 60.77 MB
  • 2017-9-13

  • Springer Texts in Statistics(2000-2002).rar

    本附件包括：
    • 2002.Statistical Methods for the Analysis of Repeated Measurements(2002).pdf
    • 2000.Introduction to Graphical Modelling-Springer (2000).pdf
    • 2000.Probability for Statisticians,Galen R. Shorack(2000).pdf
    • 2000.Probability via Expectation【Peter Whittle (auth.) 】2000.pdf
    • 2000.Stat Labs [Mathematical Statistics Through Applications] (2000).pdf
    • 2000.Time Series Analysis and Its Applications(2000).pdf
    • 2001.Advanced Linear Modeling_ Multivariate, Time Series, and Spatial Data_ Nonparametric Regression and Response Surface Maximization.pdf
    • 2001.Applying and Interpreting Statistics(2001).pdf
    • 2002.Applied Multivariate Analysis (Springer)(2002).pdf
    • 2002.Introduction to time series and forecasting(2002).pdf
    • 2002.Plane Answers to Complex Questions_ The Theory of Linear Models (2002).pdf
    • 2002.Statistical Analysis of Designed Experiments 2e (2002).pdf
  • 77.77 MB
  • 2017-9-13

  • Springer Texts in Statistics(1994-1996).rar

    本附件包括：
    • 1996.Plane Answers to Complex Questions_ The Theory of Linear Models(2nd).pdf
    • 1994.A First Course in Probability Models and Statistical Inference(1994).pdf
    • 1994.The Bayesian Choice_ A Decision-Theoretic Motivation-Springer New York (1994).pdf
    • 1996.Basic Principles of Structural Equation Modeling(1996).pdf
    • 1996.Introduction to time series and forecasting(1996).pdf
  • 42.41 MB
  • 2017-9-13

  • Springer Texts in Statistics(1990-1991).rar

    本附件包括：
    • 1991.Statistical methods_ The geometric approach(1991).djvu
    • 1990.Log-Linear Models(1990).pdf
    • 1990.Probability for Applications,Paul E. Pfeiffer,1990.pdf
    • 1990.Regression Analysis Theory, Methods, and Applications.pdf
    • 1990.Statistics for Lawyers-Springer New York (1990).pdf
    • 1990.Statistics in Scientific Investigation.pdf
    • 1991.Applied Multivariate Data Analysis_ Regression and Experimental Design(1991).pdf
    • 1991.Introduction to StatistIcs.pdf
    • 1991.Linear_Models_for_Multivariate, Time Series, and Spatial Data(1991).pdf
  • 81.14 MB
  • 2017-9-13

  • SpringerBriefs in Statistics.rar

    本附件包括：
    • (SpringerBriefs in Statistics) An Introduction to Bartlett Correction and Bias Reduction-Springer-Verlag Berlin Heidelberg (2014).pdf
    • (SpringerBriefs in Statistics) Applied Matrix and Tensor Variate Data Analysis-Springer Japan (2016).pdf
    • (SpringerBriefs in statistics) Applied multidimensional scaling-Springer (2013).pdf
    • (SpringerBriefs in Statistics) Bayesians Versus Frequentists_ A Philosophical Debate on Statistical Reasoning-Springer-Verlag Berlin Heidelberg (2016).pdf
    • (SpringerBriefs in Statistics) Brief Guidelines for Methods and Statistics in Medical Research-Springer Singapore (2015).pdf
    • (SpringerBriefs in Statistics) Convolution Copula Econometrics-Springer International Publishing (2016).pdf
    • (SpringerBriefs in Statistics) Formulas Useful for Linear Regression Analysis and Related Matrix Theory_ It's Only Formulas But We Like Them-S.pdf
    • (SpringerBriefs in Statistics) Generalized Hyperbolic Secant Distributions_ With Applications to Finance-Springer-Verlag Berlin Heidelberg (2014).pdf
    • (SpringerBriefs in Statistics) Generalized Weibull Distributions-Springer-Verlag Berlin Heidelberg (2014).pdf
    • (SpringerBriefs in Statistics) Group-Sequential Clinical Trials with Multiple Co-Objectives-Springer Japan (2016).pdf
    • (SpringerBriefs in Statistics) Handling Missing Data in Ranked Set Sampling(2013).pdf
    • (SpringerBriefs in Statistics) Interactive LISREL in Practice_ Getting Started with a SIMPLIS Approach-Springer-Verlag Berlin Heidelberg (2011).pdf
    • (SpringerBriefs in Statistics) Introduction to Data Analysis and Graphical Presentation in Biostatistics with R_ Statistics in the Large-Springer International Publishing.pdf
    • (SpringerBriefs in statistics) L1-norm and L[infinity symbol]-norm estimation _ an introduction to the least absolute residuals, the minimax absolute residual and related fitting pro.pdf
    • (SpringerBriefs in Statistics) Lévy Processes and Their Applications in Reliability and Storage-Springer (2013).pdf
    • (SpringerBriefs in Statistics) Long-Range Dependence and Sea Level Forecasting-Springer International Publishing (2013).pdf
    • (SpringerBriefs in Statistics) Model Choice in Nonnested Families(2016).pdf
    • (SpringerBriefs in Statistics) Modern Methodology and Applications in Spatial-Temporal Modeling-Springer (2016).pdf
    • (SpringerBriefs in Statistics) Multivariate Statistical Quality Control Using R-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) Optimal Experimental Design for Non-Linear Models_ Theory and Applications-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Optimal Stochastic Control Schemes within a Structural Reliability Framework-Springer International Publishing (2013).pdf
    • (SpringerBriefs in Statistics) Penalty, Shrinkage and Pretest Strategies_ Variable Selection and Estimation(2014).pdf
    • (SpringerBriefs in Statistics) Permutation Testing for Isotonic Inference on Association Studies in Genetics -Springer-Verlag Berlin.pdf
    • (SpringerBriefs in Statistics) Permutation Tests in Shape Analysis-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) Person-Centered Methods_ Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables-Springer International Publis.pdf
    • (SpringerBriefs in Statistics) Renewal Processes-Springer International Publishing (2014).pdf
    • (SpringerBriefs in Statistics) Restricted Kalman Filtering_ Theory, Methods, and Application(2012).pdf
    • (SpringerBriefs in Statistics) Sample Size Determination in Clinical Trials with Multiple Endpoints-Springer International.pdf
    • (SpringerBriefs in Statistics) Sampling Designs Dependent on Sample Parameters of Auxiliary Variables-Springer-Verlag Berlin Heidelberg (2015).pdf
    • (SpringerBriefs in Statistics) Singular Spectrum Analysis for Time Series-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Software Reliability Modeling_ Fundamentals and Applications(2014).pdf
    • (SpringerBriefs in Statistics) SPSS for Starters, Part 2-Springer Netherlands (2012).pdf
    • (SpringerBriefs in Statistics) Statistical Analysis of Clinical Data on a Pocket Calculator, Part 2_ Statistics on a Pocket Calculator, Part 2-Springer Ne.pdf
    • (SpringerBriefs in Statistics) Statistical Approaches to Orofacial Pain and Temporomandibular Disorder.pdf
    • (SpringerBriefs in Statistics) Statistical Decision Theory-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Statistical Inference for Discrete Time Stochastic Processes-Springer India (2013).pdf
    • (SpringerBriefs in Statistics) Statistical Inference for Financial Engineering-Springer International Publishing (2014).pdf
    • (SpringerBriefs in Statistics) Statistical Models for Proportions and Probabilities-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Statistical Signal Processing_ Frequency Estimation-Springer India (2012).pdf
    • (SpringerBriefs in Statistics) Strategic Economic Decision-Making_ Using Bayesian Belief Networks to Solve Complex Problems-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) Student’s t-Distribution and Related Stochastic Processes-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Telegraph Processes and Option Pricing-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) The Naive Bayes Model for Unsupervised Word Sense Disambiguation_ Aspects Concerning Feature Selection-Springer-Verlag Berlin Heidelberg (2.pdf
    • (SpringerBriefs in Statistics) The Significance Test Controversy Revisited_ The Fiducial Bayesian Alternative-Springer (2014).pdf
    • (SpringerBriefs in Statistics) Theoretical Aspects of Spatial-Temporal Modeling-Springer Japan (2015).pdf
    • (SpringerBriefs in Statistics) Time Series Modeling for Analysis and Control_ Advanced Autopilot and Monitoring Systems-Springer Tokyo (2015).pdf
    • (SpringerBriefs in Statistics) Two-Way Analysis of Variance_ Statistical Tests and Graphics Using R -Springer-Verlag New York (2012).pdf
    • (SpringerBriefs in Statistics) Unobserved Variables_ Models and Misunderstandings-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) A Concise Guide to Statistics-Springer-Verlag Berlin Heidelberg (2012).pdf
    • (SpringerBriefs in Statistics) A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem_ with Simulations and Examples in SAS(R)-Springer-Verlag New York (2013).pdf
    • (SpringerBriefs in Statistics) A Tiny Handbook of R-Springer-Verlag Berlin Heidelberg (2011).pdf
    • (SpringerBriefs in Statistics) Adaptive Sampling Designs_ Inference for Sparse and Clustered Populations-Springer-Verlag Berlin Heidelberg (2013).pdf
    • (SpringerBriefs in Statistics) Algebraic and Computational Aspects of Real Tensor Ranks-Springer Japan (2016).pdf
    • (SpringerBriefs in Statistics) Indexation and Causation of Financial Markets Nonstationary time series analysis method-Springer (2016).pdf
  • 85.77 MB
  • 2017-9-13

  • Lecture Notes in Statistics 111-120.rar

    本附件包括：
    • (Lecture Notes in Statistics 120) Roderick P. McDonald (auth.), Maia Berkane (eds.)-Latent Variable Modeling and Applications to Causality-Springer-Verlag New York (1997).pdf
    • (Lecture Notes in Statistics 111) Leon Willenborg, Ton de Waal (auth.)-Statistical Disclosure Control in Practice-Springer-Verlag New York (1996).pdf
    • (Lecture Notes in Statistics 112) Paul R. Cohen, Dawn E. Gregory, Lisa Ballesteros, Robert St. Amant (auth.), Doug Fisher, Hans-J. Lenz (eds.)-Learning from Data_ Artificial Intelligence and Statistic.pdf
    • (Lecture Notes in Statistics 113) Rainer Schwabe (auth.)-Optimum Designs for Multi-Factor Models-Springer-Verlag New York (1996).pdf
    • (Lecture Notes in Statistics 114) F. Thomas Bruss, Thomas S. Ferguson (auth.), C. C. Heyde, Yu V. Prohorov, Ronald Pyke, S. T. Rachev (eds.)-Athens Conference on Applied Probability and Time Series An.pdf
    • (Lecture Notes in Statistics 116) Genshiro Kitagawa, Will Gersch (auth.)-Smoothness Priors Analysis of Time Series-Springer-Verlag New York (1996).pdf
    • (Lecture Notes in Statistics 117) J. G. Dai, John H. Vande Vate (auth.), Paul Glasserman, Karl Sigman, David D. Yao (eds.)-Stochastic Networks-Springer-Verlag New York (1996).pdf
    • (Lecture Notes in Statistics 118) Radford M. Neal (auth.)-Bayesian Learning for Neural Networks-Springer-Verlag New York (1996).pdf
    • (Lecture Notes in Statistics 119) Masanao Aoki (auth.), Masanao Aoki, Arthur M. Havenner (eds.)-Applications of Computer Aided Time Series Modeling-Springer-Verlag New York (1997).pdf
  • 81.67 MB
  • 2017-9-9

  • Lecture Notes in Statistics 141-150.rar

    本附件包括：
    • (Lecture Notes in Statistics 150) Block Designs_ A Randomization Approach_ Volume I_ Analysis-Springer-Verlag New York (2000).pdf
    • (Lecture Notes in Statistics 141) Brani Vidakovic, Peter Müller (auth.), Peter Müller, Brani Vidakovic (eds.)-Bayesian Inference in Wavelet-Based Models-Springer-Verlag New York (1999).pdf
    • (Lecture Notes in Statistics 142) Gyorgy Terdik (auth.)-Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis_ A Frequency Domain Approach-Springer-Verlag New York (1999).pdf
    • (Lecture Notes in Statistics 143) Russell R. Barton (auth.)-Graphical Methods for the Design of Experiments-Springer-Verlag New York (1999).pdf
    • (Lecture Notes in Statistics 144) L. Mark Berliner, Douglas A. Nychka, Timothy J. Hoar (auth.), L. Mark Berliner, Douglas Nychka, Timothy Hoar (eds.)-Studies in the Atmospheric Sciences-Springer-Verla.pdf
    • (Lecture Notes in Statistics 145) James H. Matis, Thomas R. Kiffe (auth.), James H. Matis, Thomas R. Kiffe (eds.)-Stochastic Population Models_ A Compartmental Perspective-Springer-Verlag New York (20.pdf
    • (Lecture Notes in Statistics 146) Wim Schoutens (auth.)-Stochastic Processes and Orthogonal Polynomials-Springer-Verlag New York (2000).pdf
    • (Lecture Notes in Statistics 147) Ludger Overbeck (auth.), Jürgen Franke, Gerhard Stahl, Wolfgang Hardle (eds.)-Measuring Risk in Complex Stochastic Systems-Springer-Verlag New York (2000).pdf
    • (Lecture Notes in Statistics 148) Empirical Bayes and Likelihood Inference-Springer-Verlag New York (2001).pdf
    • (Lecture Notes in Statistics 149) Denis Bosq (auth.)-Linear Processes in Function Spaces_ Theory and Applications-Springer-Verlag New York (2000).pdf
  • 69.88 MB
  • 2017-9-9

  • Lecture Notes in Statistics 151-160.rar

    本附件包括：
    • (Lecture Notes in Statistics 160) Tomasz Rychlik (auth.)-Projecting Statistical Functionals-Springer-Verlag New York (2001).pdf
    • (Lecture Notes in Statistics 151) Stochastic Epidemic Models and Their Statistical Analysis-Springer-Verlag New York (2000).pdf
    • (Lecture Notes in Statistics 152) James O. Berger, David Ríos Insua, Fabrizio Ruggeri (auth.), David Ríos Insua, Fabrizio Ruggeri (eds.)-Robust Bayesian Analysis-Springer-Verlag New York (2000).pdf
    • (Lecture Notes in Statistics 153) Parimal Mukhopadhyay (auth.)-Topics in Survey Sampling-Springer-Verlag New York (2001).pdf
    • (Lecture Notes in Statistics 154) Regina Kaiser, Agustín Maravall (auth.)-Measuring Business Cycles in Economic Time Series-Springer-Verlag New York (2001).pdf
    • (Lecture Notes in Statistics 155) Leon Willenborg, Ton de Waal (auth.)-Elements of Statistical Disclosure Control-Springer-Verlag New York (2001).pdf
    • (Lecture Notes in Statistics 156) Gordon E. Willmot, X. Sheldon Lin (auth.)-Lundberg Approximations for Compound Distributions with Insurance Applications-Springer-Verlag New York (2001).pdf
    • (Lecture Notes in Statistics 157) Erling B. Andersen, Lina W?hlk (auth.), Anne Boomsma, Marijtje A. J. van Duijn, Tom A. B. Snijders (eds.)-Essays on Item Response Theory-Springer-Verlag New York (200.pdf
    • (Lecture Notes in Statistics 158) Dominique Ladiray, Benoit Quenneville (auth.)-Seasonal Adjustment with the X-11 Method-Springer-Verlag New York (2001).pdf
    • (Lecture Notes in Statistics 159) Jun Zhu, S. N. Lahiri, Noel Cressie (auth.), Marc Moore (eds.)-Spatial Statistics_ Methodological Aspects and Applications-Springer-Verlag New York (2001).pdf
  • 65.68 MB
  • 2017-9-9

  • Lecture Notes in Statistics 181-190.rar

    本附件包括：
    • (Lecture Notes in Statistics 181) Daniel Straumann (auth.)-Estimation in Conditionally Heteroscedastic Time Series Models-Springer-Verlag Berlin Heidelberg (2005).pdf
    • (Lecture Notes in Statistics 182) Lixing Zhu (auth.)-Nonparametric Monte Carlo Tests and Their Applications-Springer-Verlag New York (2005).pdf
    • (Lecture Notes in Statistics 183) Danie Krige, Wynand Kleingeld (auth.), Michel Bilodeau, Fernand Meyer, Michel Schmitt (eds.)-Space, Structure and Randomness_ Contributions in Honor of Georges Mather.pdf
    • (Lecture Notes in Statistics 184) Viatcheslav B. Melas (auth.)-Functional Approach to Optimal Experimental Design-Springer-Verlag New York (2006).pdf
    • (Lecture Notes in Statistics 185) Dietrich Stoyan (auth.), Adrian Baddeley, Pablo Gregori, Jorge Mateu, Radu Stoica, Dietrich Stoyan (eds.)-Case Studies in Spatial Point Process Modeling-Springer-Verl.pdf
    • (Lecture Notes in Statistics 186) Estela Bee Dagum, Pierre A. Cholette (auth.)-Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series-Springer-Verlag New York (2006).djvu
    • (Lecture Notes in Statistics 187) Dependence in Probability and Statistics-Springer-Verlag New York (.pdf
    • (Lecture Notes in Statistics 188) Constance van Eeden-Restricted Parameter Space Estimation Problems_ Admissibility and Minimaxity Properties (Lecture Notes in Statistics) (2006).pdf
    • (Lecture Notes in Statistics 189) The nature of statistical evidence(2007).djvu
    • (Lecture Notes in Statistics 190) Weak dependence_ With examples and applications(2007).pdf
  • 34.7 MB
  • 2017-9-9

  • Lecture Notes in Statistics 115.rar

    本附件包括：
    • (Lecture Notes in Statistics 115) P. M. Robinson (auth.), P. M. Robinson, Murray Rosenblatt (eds.)-Athens Conference on Applied Probability and Time Series Analysis_ Volume II_ Time Series Analysis In.pdf
  • 28.05 MB
  • 2017-9-9

  • Lecture Notes in Statistics 61-70（缺少65）.rar

    本附件包括：
    • (Lecture Notes in Statistics 70) Kōji Iida (auth.)-Studies on the Optimal Search Plan-Springer-Verlag New York (1992).pdf
    • (Lecture Notes in Statistics 61) Jens Breckling (auth.), Jens Breckling (eds.)-The Analysis of Directional Time Series_ Applications to Wind Speed and Direction-Springer-Verlag New York (1989).pdf
    • (Lecture Notes in Statistics 62) Johan C. Akkerboom (auth.)-Testing Problems with Linear or Angular Inequality Constraints-Springer-Verlag New York (1990).pdf
    • (Lecture Notes in Statistics 63) Johann Pfanzagl (auth.)-Estimation in Semiparametric Models_ Some Recent Developments-Springer-Verlag New York (1990).pdf
    • (Lecture Notes in Statistics 64) Siegfried Gabler (auth.)-Minimax Solutions in Sampling from Finite Populations-Springer-Verlag New York (1990).pdf
    • (Lecture Notes in Statistics 66) Tommy Wright (auth.)-Exact Confidence Bounds when Sampling from Small Finite Universes_ An Easy Reference Based on the Hypergeometric Distribution-Springer-Verlag New .pdf
    • (Lecture Notes in Statistics 67) Martin A. Tanner (auth.)-Tools for Statistical Inference_ Observed Data and Data Augmentation Methods-Springer-Verlag New York (1991).pdf
    • (Lecture Notes in Statistics 68) Masanobu Taniguchi (auth.)-Higher Order Asymptotic Theory for Time Series Analysis-Springer-Verlag New York (1991).pdf
    • (Lecture Notes in Statistics 69) Nico J. D. Nagelkerke (auth.)-Maximum Likelihood Estimation of Functional Relationships-Springer-Verlag New York (1992).pdf
  • 52.44 MB
  • 2017-9-9

  • Lecture Notes in Statistics 21-30.rar

    本附件包括：
    • (Lecture Notes in Statistics 30) Jan Grandell (auth.)-Stochastic Models of Air Pollutant Concentration-Springer-Verlag New York (1985).pdf
    • (Lecture Notes in Statistics 21) Howell Tong (auth.)-Threshold Models in Non-linear Time Series Analysis-Springer-Verlag New York (1983).pdf
    • (Lecture Notes in Statistics 22) S?ren Johansen (auth.)-Functional Relations, Random Coefficients, and Nonlinear Regression with Application to Kinetic Data-Springer-Verlag New York (1984).pdf
    • (Lecture Notes in Statistics 23) Diane Griffin Saphire (auth.)-Estimation of Victimization Prevalence Using Data from the National Crime Survey-Springer-Verlag New York (1984).pdf
    • (Lecture Notes in Statistics 24) Dr. T. Subba Rao, Dr. M. M. Gabr (auth.)-An Introduction to Bispectral Analysis and Bilinear Time Series Models-Springer-Verlag New York (1984).pdf
    • (Lecture Notes in Statistics 25) Emanuel Parzen (auth.), Emanuel Parzen (eds.)-Time Series Analysis of Irregularly Observed Data_ Proceedings of a Symposium held at Texas A & M University, College Sta.pdf
    • (Lecture Notes in Statistics 26) Hirotugu Akaike (auth.), Jürgen Franke, Wolfgang Hardle, Douglas Martin (eds.)-Robust and Nonlinear Time Series Analysis_ Proceedings of a Workshop Organized by the So.pdf
    • (Lecture Notes in Statistics 27) Arnold Janssen, Hartmut Milbrodt, Helmut Strasser (auth.)-Infinitely Divisible Statistical Experiments-Springer-Verlag New York (1985).pdf
    • (Lecture Notes in Statistics 28) Shun-ichi Amari (auth.)-Differential-Geometrical Methods in Statistics-Springer-Verlag New York (1985).pdf
    • (Lecture Notes in Statistics 29) Philip M. North, Byron J. T. Morgan (auth.), Byron J. T. Morgan, Philip M. North (eds.)-Statistics in Ornithology-Springer-Verlag New York (1985).pdf
  • 62.45 MB
  • 2017-9-9

  • Lecture Notes in Statistics 51-60.rar

    本附件包括：
    • (Lecture Notes in Statistics 60) Lázió Gyorfi, Wolfgang Hardle, Pascal Sarda (auth.), Lázió Gyorfi, Wolfgang Hardle, Pascal Sarda, Philippe Vieu (eds.)-Nonparametric Curve Estimation from Time Series-.pdf
    • (Lecture Notes in Statistics 51) Michael Falk (auth.), Jürg Hüsler, Rolf-Dieter Reiss (eds.)-Extreme Value Theory_ Proceedings of a Conference held in Oberwolfach, Dec. 6–12, 1987-Springer-Verlag New .pdf
    • (Lecture Notes in Statistics 52) The Matching Methodology_ Some Statistical Properties-Springer-Verlag New York (1989).pdf
    • (Lecture Notes in Statistics 53) Barry C. Arnold, Narayanaswamy Balakrishnan (auth.)-Relations, Bounds and Approximations for Order Statistics-Springer-Verlag New York (1989).pdf
    • (Lecture Notes in Statistics 54) Kirti R. Shah, Bikas K. Sinha (auth.)-Theory of Optimal Designs-Springer-Verlag New York (1989).pdf
    • (Lecture Notes in Statistics 55) Bryan F. J. Manly (auth.), Lyman L. McDonald, Bryan F. J. Manly, Jeffrey A. Lockwood, Jesse A. Logan (eds.)-Estimation and Analysis of Insect Populations_ Proceedings .pdf
    • (Lecture Notes in Statistics 56) James K. Lindsey (auth.)-The Analysis of Categorical Data Using GLIM-Springer-Verlag New York (1989).pdf
    • (Lecture Notes in Statistics 57) A V Swan (auth.), Adriano Decarli, Brian J. Francis, Robert Gilchrist, Gilg U. H. Seeber (eds.)-Statistical Modelling_ Proceedings of GLIM 89 and the 4th International.pdf
    • (Lecture Notes in Statistics 58) Ole E. Barndorff-Nielsen, Preben Blaesild, Poul Svante Eriksen (auth.)-Decomposition and Invariance of Measures, and Statistical Transformation Models-Springer-Verlag N.pdf
    • (Lecture Notes in Statistics 59) Sudhir Gupta, Rahul Mukerjee (auth.)-A Calculus for Factorial Arrangements-Springer-Verlag New York (1989).pdf
  • 55.75 MB
  • 2017-9-9

  • The Practice of Time Series Analysis(1999).rar

    本附件包括：
    • The Practice of Time Series Analysis(1999).pdf
  • 9.97 MB
  • 2017-9-7

  • Analysis of Financial Time Series, Third Edition, Third Edition 2010.zip
       Analysis of Financial Time Series, Third Edition, Third Edition 2010

    本附件包括：
    • ch1.pdf
    • ch10.pdf
    • ch11.pdf
    • ch12.pdf
    • ch2.pdf
    • ch3.pdf
    • ch4.pdf
    • ch5.pdf
    • ch6.pdf
    • ch7.pdf
    • ch8.pdf
    • ch9.pdf
    • fmatter.pdf
    • index.pdf
    • scard.pdf
  • 14.36 MB
  • 2017-7-22

  • ts.pdf
       Time Series

  • 12.57 MB
  • 2017-6-16

  • Wavelet Methods for Time Series Analysis.zip

    本附件包括：
    • Wavelet Methods for Time Series Analysis.djvu
  • 18 MB
  • 2017-4-26

  • Hidden Markov Models for Time Series_An Introduction Using R (2nd Edition).zip

    本附件包括：
    • Hidden Markov Models for Time Series_An Introduction Using R (2nd Edition).pdf
  • 45.51 MB
  • 2016-12-9

  • Advances in Time Series Methods and Applications (pdf).zip

    本附件包括：
    • Advances in Time Series Methods and Applications.pdf
  • 3.64 MB
  • 2016-12-9

  • Advances in Time Series Methods and Applications (epub).zip

    本附件包括：
    • Advances in Time Series Methods and Applications.epub
  • 4.47 MB
  • 2016-12-9

  • Advances in Time Series Methods and Applications (pdf epub).zip

    本附件包括：
    • Advances in Time Series Methods and Applications.pdf
    • Advances in Time Series Methods and Applications.epub
  • 8.11 MB
  • 2016-12-9

  • Time Series Analysis.zip

    本附件包括：
    • Time Series Analysis.pdf
  • 23.29 MB
  • 2016-12-8

  • ITSF (3rd Edition, pdf).zip

    本附件包括：
    • Introduction to Time Series and Forecasting (3rd Edition).pdf
  • 5.51 MB
  • 2016-12-4

  • ITSF (3rd Edition, epub).zip

    本附件包括：
    • Introduction to Time Series and Forecasting (3rd Edition).epub
  • 6.45 MB
  • 2016-12-4

  • ITSF (3rd Edition, pdf epub).zip

    本附件包括：
    • Introduction to Time Series and Forecasting (3rd Edition).pdf
    • Introduction to Time Series and Forecasting (3rd Edition).epub
  • 11.96 MB
  • 2016-12-4

  • testing the null hypothesis stationarity against the alternative of a unit root：.rar

    本附件包括：
    • testing the null hypothesis stationarity against the alternative of a unit root： how sure are we that economic time series have a unit root.pdf
  • 620.64 KB
  • 2016-11-30

  • Introduction to Time Series and Forecasting.rar

    本附件包括：
    • Introduction to Time Series and Forecasting.pdf
  • 5.21 MB
  • 2016-11-15

  • Solutions.pdf
       INSTRUCTOR’S RESOURCE GUIDE TO ACCOMPANY APPLIED ECONOMETRIC TIME SERIES (2nd edition)

  • 1.57 MB
  • 2016-10-23

  • 时间序列分析的书.rar
       Time Series Analysis Forecasting and Control 中文

    本附件包括：
    • 时间序列分析的书.pdf
  • 16.14 MB
  • 2016-10-17

  • Analyzing Neural Time Series Data.zip

    本附件包括：
    • Analyzing_Neural_Time_Series_Data____Theory_and_Practice.pdf
  • 45.43 MB
  • 2016-10-15

  • Shumway2011.pdf
       Time Series Analysis and Its Applications: With R Examples

  • 12.67 MB
  • 2016-8-21

  • Time Series Analysis.rar

    本附件包括：
    • Time Series Analysis.pdf
  • 24.81 MB
  • 2016-7-26

  • Time series analysis and its applications with R examples.rar

    本附件包括：
    • Time series analysis and its applications with R examples.pdf
  • 5.59 MB
  • 2016-7-26

  • Time series part 6 Moving-average smoothers.mp4.zip

    本附件包括：
    • Time series part 6 Moving-average smoothers.mp4
  • 75.5 MB
  • 2016-7-15

  • Time series part 5 Introduction to ARMA ARIMA models.mp4.zip

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    • Time series part 5 Introduction to ARMA ARIMA models.mp4
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