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  • The Inverse Gaussian Distribution(1999, Springer).zip
       你要的书,解压后使用

    本附件包括:
    • The Inverse Gaussian Distribution_ Statistical Theory and Applications (1999, Springer).pdf
  • 24.24 MB
  • 2023-11-27
  • Taylor_&_Francis_Articles(11Nov2023) (3).zip

    本附件包括:
    • 00-Latent Gaussian Count Time Series.pdf
  • 994.81 KB
  • 2023-11-12
  • qy_Continuity and Hölder s conditions for sample functions of stationary .rar

    本附件包括:
    • qy_Continuity and Holder s conditions for sample functions of stationary Gaussia..pdf
  • 480.52 KB
  • 2023-7-28
  • Continuous Time Processes for Finance.rar
       金融连续时间处理

    本附件包括:
    • CH 11 A Fractional Dupire Equation for Jump-Diffusions.pdf
    • CH 1 Switching Models- Properties and Estimation.pdf
    • CH 2 Estimation of Continuous Time Processes by Markov Chain.pdf
    • CH 3 Particle Filtering and Estimation.pdf
    • CH 4 Modeling of Spillover Effects in Stock Markets.pdf
    • CH 5 Non-Markov Models for Contagion and Spillover.pdf
    • CH 6 Fractional Brownian Motion.pdf
    • CH 7 Gaussian Fields for Asset Prices.pdf
    • CH 8 Lévy Interest Rate Models with a Long Memory.pdf
    • CH 9 Affine Volterra Processes and Rough Models.pdf
    • CH 10 Sub-diffusion for Illiquid Markets.pdf
  • 10.1 MB
  • 2023-6-25
  • gaussian高斯.rar
       gaussian高斯

    本附件包括:
    • 如何阅读高斯的计算输出文件.pdf
    • 高斯算法拓展性课程编写思路汇编.doc
    • 高斯速算等差数列求和.doc
    • 奥数教案-第一章-高斯算法.doc
    • 奥数讲座(1)高斯算法.pdf
  • 344.04 KB
  • 2023-4-9
  • 高斯gaussian.rar
       高斯

    本附件包括:
    • GaussView高级技巧 (1).pdf
    • Gaussian03学习笔记(一).TXT
    • Gaussian 09 使用手册.doc
    • Gaussian计算中分子总能量各项的意义.pdf
    • Gaussian中分子的几何构型.pdf
    • Gaussian并行计算的简单实现.pdf
  • 1.91 MB
  • 2023-4-9
  • 华为开发者大会2020(壹).zip

    本附件包括:
    • 6步实现智能算法APP上架HoloSens商城.pdf
    • AI+WeLink在新冠肺炎临床应用中的实践.pdf
    • AI编程秘籍:AutoML在电信CASE模型上的开发实践.pdf
    • HetuEngine:让大数据开发提效2-10倍.pdf
    • KubeEdge在联通沃云边缘计算平台的落地实践.pdf
    • Kubeflow+Volcano加速机器学习平台容器化进程.pdf
    • MEC开源技术方案之庖丁解牛.pdf
    • WeLink We码小程序解析,5分钟快速上手实践.pdf
    • 云编程:未来云原生编程之路.pdf
    • 从空间到芯片——光计算发展之路.pdf
    • 从鲲鹏处理器再看Memory Models机制.pdf
    • 以数字资产模型为核心驱动的一站式IoT数据分析实践.pdf
    • 做大数据时代的弄潮儿.pdf
    • 华为5G模组垂直行业集成与行业应用开发经验分享.pdf
    • 华为HiQ量子计算平台的黑科技.pdf
    • 华为OceanData智能生产交易新思维.pdf
    • 华为云IEF智能边缘平台十万边缘节点管理技术深度解读.pdf
    • 华为云昇腾AI计算解决方案云原生深度学习性能提升揭秘.pdf
    • 华为智简园区网络开放能力及IoT应用实践.pdf
    • 基于OceanConnect Studio自助生成10万行代码的开发实践.pdf
    • 基于多核并发&硬件加速实现大数据平台性能提升.pdf
    • 如何实现从x86到鲲鹏平台90%C++代码自动迁移.pdf
    • 嵌入式开发者与5G物联网之间的神秘电波.pdf
    • 摩尔定律能否持续——半导体产业的演进趋势.pdf
    • 机密计算:“可用不可见”的数据与隐私保护技术展望.pdf
    • 深入解读通用加速器框架 WarpDrive.pdf
    • 火了这么久,2020年云原生将走向哪里?.pdf
    • 用友ERP平台迁移Oracle到GaussDB T实战分享.pdf
    • 网络+AI=网络自动驾驶?.pdf
    • 联邦学习在电信业务模型上的开发实践.pdf
    • 跨域网络故障根因定位效率提升40%的秘密.pdf
    • 通过鲲鹏全栈HPC软件套件提升应用性能.pdf
    • 量子计算中的控制技术及挑战.pdf
    • 高瞻远瞩,见贤斯齐——论DBA的自我修养和技术成长.pdf
  • 91.12 MB
  • 2020-4-2
  • my_gauss_newton_model.zip

    本附件包括:
    • GaussNewtonNLS.m
    • Main.m
    • population_model.m
    • 人口增长模型.bmp
    • 血药浓度模型.bmp
  • 32.3 KB
  • 2020-2-8
  • UKHP_for_UK_Results_Gauss6.rar

    本附件包括:
    • 1-s2.0-S0094119010000501-main.pdf
    • HPY_UKHP.prc
    • LRHP_UK_NY_UK(S).xls
  • 1.87 MB
  • 2019-5-21
  • (2007)Financial Modeling Under Non-Gaussian Distributions_Eric Jondeau, Ser-Huan.rar

    本附件包括:
    • (2007)Financial Modeling Under Non-Gaussian Distributions_Eric Jondeau, Ser-Huang Poon, Michael Rockinger.pdf
  • 5.57 MB
  • 2018-11-1
  • 时变门槛模型程序.zip
       Gauss codes

    本附件包括:
    • RKS simulation
  • 773 Bytes
  • 2018-10-25
  • Stable Non-Gaussian Random Processes Stochastic Models with Infinite Variance.zip

    本附件包括:
    • Stable Non-Gaussian Random Processes Stochastic Models with Infinite Variance.djvu
  • 13.09 MB
  • 2018-8-4
  • MATLABCODES.zip

    本附件包括:
    • samplegaussian.m
    • mem.m
    • art.m
    • avq.m
    • backpropagation.m
    • bam.m
    • bayesboundary.m
    • boltzmann.m
    • bsb.m
    • fuzzy.m
    • hopfield.m
    • linearnonsepsvm.m
    • linearsvm.m
    • alphalms.m
    • mexicanhat.m
    • mulms.m
    • nonlinearsvm.m
    • ojaalgorithm.m
    • perceptron.m
    • posteriorprobs.m
    • randomize.m
    • rbfnapproximation.m
    • rbfninterpolation.m
    • regularization.m
    • sofm.m
    • steepestdescent.m
  • 24.84 KB
  • 2018-7-21
  • Stable Non-Gaussian Random Processes.zip

    本附件包括:
    • Stable Non-Gaussian Random Processes.djvu
  • 13.09 MB
  • 2018-5-28
  • 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
  • Stochastic Modelling and Applied Probability(1-10缺少2).rar

    本附件包括:
    • (Applications of Mathematics 10) Linear Multivariable Control_ A Geometric Approach(1985).djvu
    • (Applications of Mathematics 1) Deterministic and Stochastic Optimal Control(1975).pdf
    • (Applications of Mathematics 3) Applied Functional Analysis(1981).djvu
    • (Applications of Mathematics 4) Stochastic Processes in Queueing Theory(1976).djvu
    • (Applications of Mathematics 5) Statistics of Random Processes I_ General Theory(1977).pdf
    • (Applications of Mathematics 5) Statistics of Random Processes_ I. General Theory(2001).djvu
    • (Applications of Mathematics 6) Statistics of Random Processes II_ Applications(1978).pdf
    • (Applications of Mathematics 6) Statistics of Random Processes_ II. Applications(2001).pdf
    • (Applications of Mathematics 7) Game Theory_ Lectures for Economists and Systems Scientists(1977).djvu
    • (Applications of Mathematics 8) Optimal Stopping Rules(1978).pdf
    • (Applications of Mathematics 8) Optimal stopping rules(2008).djvu
    • (Applications of Mathematics 9) Gaussian Random Processes(1978).djvu
    • (Applications of Mathematics 10) Linear Multivariable Control_ a Geometric Approach(1979).pdf
  • 72.12 MB
  • 2017-9-13
  • Lecture Notes in Statistics 131-140.rar

    本附件包括:
    • (Lecture Notes in Statistics 140) Case Studies in Bayesian Statistics Volume IV.pdf
    • (Lecture Notes in Statistics 131) Joel L. Horowitz (auth.)-Semiparametric Methods in Econometrics-Springer-Verlag New York (1998).pdf
    • (Lecture Notes in Statistics 132) Lawrence H. Cox, Douglas Nychka (auth.), Douglas Nychka, Walter W. Piegorsch, Lawrence H. Cox (eds.)-Case Studies in Environmental Statistics-Springer-Verlag New York.pdf
    • (Lecture Notes in Statistics 133) Michael D. Escobar, Mike West (auth.), Dipak Dey, Peter Müller, Debajyoti Sinha (eds.)-Practical Nonparametric and Semiparametric Bayesian Statistics-Springer-Verlag .pdf
    • (Lecture Notes in Statistics 134) Yu. A. Kutoyants (auth.)-Statistical Inference for Spatial Poisson Processes-Springer-Verlag New York (1998).pdf
    • (Lecture Notes in Statistics 135) Christian P. Robert, Sylvia Richardson (auth.), Christian P. Robert (eds.)-Discretization and MCMC Convergence Assessment-Springer-Verlag New York (1998).pdf
    • (Lecture Notes in Statistics 136) Gregory C. Reinsel, Raja P. Velu (auth.)-Multivariate Reduced-Rank Regression_ Theory and Applications-Springer-Verlag New York (1998).pdf
    • (Lecture Notes in Statistics 137) V. Seshadri (auth.)-The Inverse Gaussian Distribution_ Statistical Theory and Applications-Springer-Verlag New York (1999).pdf
    • (Lecture Notes in Statistics 138) József Beck (auth.), Peter Hellekalek, Gerhard Larcher (eds.)-Random and Quasi-Random Point Sets-Springer-Verlag New York (1998).pdf
    • (Lecture Notes in Statistics 139) Roger B. Nelsen (auth.)-An Introduction to Copulas-Springer New York (1999).pdf
  • 83.75 MB
  • 2017-9-9
  • Lecture Notes in Statistics 161-170.rar

    本附件包括:
    • (Lecture Notes in Statistics 170) Tadeusz Caliński, Sanpei Kageyama (auth.)-Block Designs_ A Randomization Approach_ Volume II_ Design-Springer-Verlag New York (2003).pdf
    • (Lecture Notes in Statistics 161) Maarten Jansen (auth.)-Noise Reduction by Wavelet Thresholding-Springer-Verlag New York (2001).pdf
    • (Lecture Notes in Statistics 162) John Barnard, Constantine Frangakis, Jennifer Hill, Donald B. Rubin (auth.), Constantine Gatsonis, Robert E. Kass, Bradley Carlin, Alicia Carriquiry, Andrew Gelman, I.pdf
    • (Lecture Notes in Statistics 163) Erkki P. Liski, Nripes K. Mandal, Kirti R. Shah, Bikas K. Sinha (auth.)-Topics in Optimal Design-Springer-Verlag New York (2002).pdf
    • (Lecture Notes in Statistics 164) Peter Goos (auth.)-The Optimal Design of Blocked and Split-Plot Experiments-Springer-Verlag New York (2002).pdf
    • (Lecture Notes in Statistics 165) Karl Mosler (auth.)-Multivariate Dispersion, Central Regions, and Depth_ The Lift Zonoid Approach-Springer-Verlag New York (2002).pdf
    • (Lecture Notes in Statistics 166) Hira L. Koul (auth.)-Weighted Empirical Processes in Dynamic Nonlinear Models-Springer-Verlag New York (2002).pdf
    • (Lecture Notes in Statistics 168) Susanne Rassler (auth.)-Statistical Matching_ A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches-Springer-Verlag New York (2002).pdf
    • (Lecture Notes in Statistics 169) Yu. I. Ingster, Irina A. Suslina (auth.)-Nonparametric Goodness-of-Fit Testing Under Gaussian Models-Springer-Verlag New York (2003).pdf
  • 81.34 MB
  • 2017-9-9
  • Lecture Notes in Statistics 1-10.rar

    本附件包括:
    • (Lecture Notes in Statistics 10) Fitting Linear Models_ An Application of Conjugate Gradient Algorithms(1982).pdf
    • (Lecture Notes in Statistics 1) An Appreciation-Springer-Verlag New York (1980).pdf
    • (Lecture Notes in Statistics 2) Mathematical Statistics and Probability Theory_ Proceedings, Sixth International Conf.pdf
    • (Lecture Notes in Statistics 3) Benefit-Cost Analysis of Data Used to Allocate Funds-Springer-Verlag New York (1980).pdf
    • (Lecture Notes in Statistics 4) Stochastic Monotonicity and Queueing Applications of Birth-Death Processes-Springer-Verlag New York (1981).pdf
    • (Lecture Notes in Statistics 5) Stationary Random Processes Associated with Point Processes(1981).pdf
    • (Lecture Notes in Statistics 6) Shanti S. Gupta, Deng-Yuan Huang (auth.)-Multiple Statistical Decision Theory_ Recent Developments-Springer-Verlag New York (1981).pdf
    • (Lecture Notes in Statistics 7) Asymptotic Efficiency of Statistical Estimators_ Concepts and Higher Order Asymptotic Efficiency(1981).pdf
    • (Lecture Notes in Statistics 8) The First Pannonian Symposium on Mathematical Statistics(1981).pdf
    • (Lecture Notes in Statistics 9) Statistical Properties of the Generalized Inverse Gaussian Distribution(1982).pdf
  • 54.64 MB
  • 2017-9-9
  • Gaussian Processes on Trees_From Spin Glasses to Branching Brownian Motion.zip

    本附件包括:
    • Gaussian Processes on Trees_From Spin Glasses to Branching Brownian Motion.pdf
  • 1.79 MB
  • 2017-1-12
  • Manuals17.zip
       User Guide and Language Reference

    本附件包括:
    • GAUSS_17_PDF_LR.pdf
    • GAUSS_17_PDF_UG.pdf
  • 12.46 MB
  • 2017-1-10
  • The Econometricians (PDF).zip

    本附件包括:
    • The Econometricians_Gauss, Galton, Pearson, Fisher, Hotelling, Cowles, Frisch and Haavelmo.pdf
  • 8.88 MB
  • 2016-11-19
  • The Econometricians (EPUB).zip

    本附件包括:
    • The Econometricians_Gauss, Galton, Pearson, Fisher, Hotelling, Cowles, Frisch and Haavelmo.epub
  • 1.46 MB
  • 2016-11-19
  • The Econometricians (PDF EPUB).zip

    本附件包括:
    • The Econometricians_Gauss, Galton, Pearson, Fisher, Hotelling, Cowles, Frisch and Haavelmo.pdf
    • The Econometricians_Gauss, Galton, Pearson, Fisher, Hotelling, Cowles, Frisch and Haavelmo.epub
  • 10.33 MB
  • 2016-11-19
  • GAUSS_Light_14_Win_32.zip

    本附件包括:
    • GAUSSx86Light.msi
  • 53.19 MB
  • 2016-6-2
  • GAUSS_Light_16_Win_64.zip

    本附件包括:
    • GAUSS Lightx64.msi
  • 91.77 MB
  • 2016-6-1
  • data.zip
       Gauss数据

    本附件包括:
    • data.fmt
  • 69.96 KB
  • 2015-8-26
  • g09ug.pdf
       Gauss 09说明书

  • 2.45 MB
  • 2015-7-28
  • supplementary.zip

    本附件包括:
    • c.gaussian.r
    • AUC.Rdata
    • make.DV.r
    • boot.both.Rdata
    • bootstrap.specification2.r
    • AUC.figure.r
    • c.product.r
    • make.DV.EHA.r
    • figure.B5.r
    • time.para.dif.figure.r
    • copula.associate.unit.r
    • e.logistic.r
    • c.fgm.r
    • MC.figure.background.r
    • COEHA.r
    • cgs_mult.dta
    • time.para.background.r
    • e.probit.r
    • time.para.count.unit.r
    • do.MC.unit.publish.EHA.r
    • c.frank.r
    • multinom.robust.sde.0.1-0.r
    • cox.r
    • figure.unit.r
    • unit.r
    • copula.sample.r.r
    • appendices.pdf
    • starter.Rdata
    • figure.first.difference.unit.r
    • AUC.background.r
    • MC.figure.draw.unit.r
    • AUC.unit.r
    • bootstrap.specification3.r
    • c.amh.r
    • MC.unit.publish.r
    • AUC.functions.r
    • t.gamma.r
    • bootstrap.specification1.r
    • MC.publish.EHA.Rdata
    • AIC.logit.Rdata
    • CGS.setup.r
    • c.trig.r
    • AIC.probit.r
    • analyze.specification3.r
    • figure.probabilities.r
    • MC.figure.draw.background.r
    • MNL.r
    • AUC.r
    • readme.txt
    • MC.figure.dif.background.count.time.both.r
    • MC.figure.functions.r
    • slide.r
    • analyze.MC.r.r
    • MC.unit.publish.EHA.r
    • image.r
    • c.gumbel.barnett.r
    • make.covariates.simple.r
    • AIC.logit.r
    • do.MC.unit.publish.r
    • COEHA.cox.r
    • short.censor.time.r
    • time.para.r
    • e.normal.r
    • boot.four.Rdata
    • figure.functions.3rd.r
    • boot.Rdata
    • MC.setup.r
    • MC.figure.control.r
    • t.log.logistic.r
    • MC.figure.treat.r
    • MC.figure.dif.background.count.time.e.only.r
    • AIC.summarize.r
    • analyze.specification1.r
    • AIC.probit.Rdata
    • time.para.unit.r
    • c.clayton.r
    • c.gumbel.hougaard.r
    • MC.normal.Rdata
    • MC.figure.dif.count.time.r
    • do.MC.unit.publish.EHA.censor.r
    • basic.functions.r
    • copula.sample.unit.r
    • t.weibull.r
    • MC.censor.Rdata
    • t.log.normal.r
    • analyze.specification2.r
  • 24.13 MB
  • 2015-5-9
  • Semiparametric Gaussian copula models: Geometry and efficient rank-based estimation.zip

    本附件包括:
    • Semiparametric Gaussian copula models: Geometry and efficient rank-based estimation.pdf
  • 332.09 KB
  • 2014-12-8
  • 11876931gaussfilterbasedukf.rar

    本附件包括:
    • 基于UKF的高斯和滤波算法.pdf
    • www.pudn.com.txt
  • 201.76 KB
  • 2014-8-28
  • Aptech_GAUSS.v11.rar
       GAUSS_11

    本附件包括:
    • Aptech_GAUSS.v11.msi
  • 41.07 MB
  • 2014-2-7
  • 807-GAUSS_Light_8.0_Win.zip
       guass light

    本附件包括:
    • data1.cab
    • data1.hdr
    • data2.cab
    • engine32.cab
    • layout.bin
    • setup.bmp
    • setup.boot
    • setup.exe
    • setup.ini
    • setup.inx
  • 8.97 MB
  • 2013-11-14
  • MATRIX REVIEW WITH GAUSS.rar

    本附件包括:
    • MATRIX REVIEW WITH GAUSS.pdf
  • 387.35 KB
  • 2013-10-2
  • Gauss_V13_Language Reference.rar

    本附件包括:
    • Gauss_V13_Language Reference.pdf
  • 6.26 MB
  • 2013-1-29
  • Gauss_Light-W32_v13.09.3157.rar

    本附件包括:
    • Gauss_Light-W32_v13.09.3157.msi
  • 44.08 MB
  • 2013-1-29
  • Multivariate inverse Gaussian and skew-normal densities.zip

    本附件包括:
    • Multivariate inverse Gaussian and skew-normal densities.pdf
  • 204.07 KB
  • 2013-1-23
  • Gauss_Light-W32_v13.06.3122.rar

    本附件包括:
    • Gauss_Light-W32_v13.06.3122.msi
  • 44.24 MB
  • 2012-12-19
  • gauss-mvt.zip

    本附件包括:
    • gauss-mvt\dlib\mvt1.dll
    • gauss-mvt\dlib\mvt2.dll
    • gauss-mvt\lib\MVT.LCG
    • gauss-mvt\mvt\dlls\mvt.bat
    • gauss-mvt\mvt\dlls\mvt.c
    • gauss-mvt\mvt\dlls\mvt.f
    • gauss-mvt\mvt\dlls\mvt1.c
    • gauss-mvt\mvt\dlls\mvt1.dll
    • gauss-mvt\mvt\dlls\mvt1.exp
    • gauss-mvt\mvt\dlls\mvt1.lib
    • gauss-mvt\mvt\dlls\mvt1.obj
    • gauss-mvt\mvt\dlls\mvt2.c
    • gauss-mvt\mvt\dlls\mvt2.dll
    • gauss-mvt\mvt\dlls\mvt2.exp
    • gauss-mvt\mvt\dlls\mvt2.lib
    • gauss-mvt\mvt\dlls\mvt2.obj
    • gauss-mvt\mvt\dlls\mvtdstpack.c
    • gauss-mvt\mvt\dlls\mvtdstpack.f
    • gauss-mvt\mvt\MVT1.OUT
    • gauss-mvt\mvt\mvt1.prg
    • gauss-mvt\mvt\MVT2.OUT
    • gauss-mvt\mvt\mvt2.prg
    • gauss-mvt\mvt\MVT3.OUT
    • gauss-mvt\mvt\mvt3.prg
    • gauss-mvt\mvt\MVT4.OUT
    • gauss-mvt\mvt\mvt4.prg
    • gauss-mvt\readme.mvt
    • gauss-mvt\src\mvt.dec
    • gauss-mvt\src\mvt.ext
    • gauss-mvt\src\mvt.src
    • gauss-mvt\license.txt
  • 245.46 KB
  • 2012-11-3
  • Wiener Chaos Moments,Cumulants and Diagrams.rar

    本附件包括:
    • front-matter.pdf
    • The lattice of partitions of a finite set.pdf
    • Combinatorial expressions of cumulants and moments.pdf
    • Diagrams and multigraphs.pdf
    • Wiener It integrals and Wiener chaos.pdf
    • Multiplication formulae.pdf
    • Diagram formulae.pdf
    • From Gaussian measures to isonormal Gaussian processes.pdf
    • Hermitian random measures and spectral representations.pdf
    • Some facts about Charlier polynomials.pdf
    • Limit theorems on the Gaussian Wiener chaos.pdf
    • CLTs in the Poisson case the case of double integrals.pdf
    • back-matter.pdf
    • Introduction.pdf
  • 2.52 MB
  • 2012-10-8
  • 归档.zip

    本附件包括:
    • calculating power of the J.pdf
    • calculating true size for the J0.pdf
    • GARCH standarderror.pdf
    • implied volatility.pdf
    • Kernel Regression Example density chi square.pdf
    • Kernel Regression Example.pdf
    • Manto Carlo simulation.pdf
    • Nonlineariality.pdf
    • Normal Inverse Gaussian distribution.pdf
    • sign test.pdf
    • SIMULATING LOSS distribution-VAR-Expected shortfall.pdf
    • SIMULATING LOSS DISTRIBUTIONs INVESTIGATING THE QUALITY OF THE DELTA APPROXIMATION.pdf
    • simulation of VAR and ES.pdf
  • 527.11 KB
  • 2012-5-20
  • ptdecomp.zip
       gauss 程序运行请教

    本附件包括:
    • sim.out
    • sim.prg
    • boot.src
    • read.me
    • A systematic framework.pdf
  • 174.07 KB
  • 2012-4-12
  • gauss.pdf
       The Multivariate Gaussian Distribution-多元高斯分布

  • 243.7 KB
  • 2012-3-31
  • 120211.zip
       Matlab Codes

    本附件包括:
    • setup.m
    • README.txt
    • cap.m
    • LICENSE.txt
    • gpl.txt
    • FactorGraph.m
    • checkFactorGraph.m
    • absorb.m
    • absorption.m
    • absorptionID.m
    • ancestors.m
    • ancestralorder.m
    • ancestralsample.m
    • assign.m
    • bar3zcolor.m
    • bucketelim.m
    • condindep.m
    • condpot.m
    • dag.m
    • deltapot.m
    • descendents.m
    • disptable.m
    • divpots.m
    • edges.m
    • elimtri.m
    • evalpot.m
    • eyepot.m
    • ind2subv.m
    • istree.m
    • jtassignpot.m
    • jtree.m
    • jtreeID.m
    • lengthcell.m
    • markov.m
    • maxpot.m
    • maxprodFG.m
    • maxsumpot.m
    • mostprobablepath.m
    • multpots.m
    • numstates.m
    • orderpotfields.m
    • orderpot.m
    • potscontainingonly.m
    • potvariables.m
    • randgen.m
    • replace.m
    • setdiff_unsorted.m
    • setevpot.m
    • setpot.m
    • spantree.m
    • subv2ind.m
    • triangulateComponent.m
    • sumpot.m
    • sumpots.m
    • sumprodFG.m
    • triangulate.m
    • triangulatePorder.m
    • uniquepots.m
    • validgridposition.m
    • whichpot.m
    • maxarray.m
    • connectedComponents.m
    • changevar.m
    • FactorConnectingVariable.m
    • VariableConnectingFactor.m
    • drawFG.m
    • maxNarray.m
    • maxNpot.m
    • maxNprodFG.m
    • mvrandn.m
    • dirrnd.m
    • mygamrnd.m
    • blanknames.m
    • blankstates.m
    • MesstoFact.m
    • squeezepots.m
    • MDPsolve.m
    • table.m
    • normp.m
    • argmax.m
    • potsample.m
    • logpot.m
    • condindepEmp.m
    • condMI.m
    • count.m
    • chi2test.m
    • neigh.m
    • field2cell.m
    • mynchoosek.m
    • mynanmean.m
    • MDPemDeterministicPolicy.m
    • EMqTranMarginal.m
    • EMqUtilMarginal.m
    • EMminimizeKL.m
    • EMvalueTable.m
    • EMTotalBetaMessage.m
    • sumpotID.m
    • IDvars.m
    • noselfpath.m
    • parents.m
    • children.m
    • drawJTree.m
    • drawNet.m
    • drawID.m
    • exppot.m
    • LoopyBP.m
    • MaxFlow.m
    • myones.m
    • setstate.m
    • condindepPot.m
    • myzeros.m
    • myrand.m
    • mostprobablepathmult.m
    • mynansum.m
    • isoctave.m
    • potistyped.m
    • logsigma.m
    • setfields.m
    • PCskeletonOracle.m
    • PCorient.m
    • PCskeletonData.m
    • BDscore.m
    • learnBayesNet.m
    • normpot.m
    • KLdiv.m
    • condMIemp.m
    • MIemp.m
    • squeezestates.m
    • JTsample.m
    • singleparenttree.m
    • neighboursize.m
    • argmin.m
    • IPF.m
    • nonzerovalue.m
    • empdist.m
    • learnMarkovDecomp.m
    • EntropyEmp.m
    • GibbsSample.m
    • mylogsig.m
    • grouppot.m
    • ungrouppot.m
    • groupstate.m
    • makeThinJT.m
    • gatherstrings.m
    • getdimind.m
    • EMbeliefnet.m
    • majority.m
    • nearNeigh.m
    • svdm.m
    • BayesLogRegressionRVM.m
    • CanonVar.m
    • GPreg.m
    • LogReg.m
    • avsigmaGauss.m
    • covfnGE.m
    • logdet.m
    • plsa.m
    • plsaCond.m
    • sigmoid.m
    • sigma.m
    • softloss.m
    • rbf.m
    • kernel.m
    • sqdist.m
    • BayesLinReg.m
    • HMMem.m
    • condp.m
    • condexp.m
    • HMMviterbi.m
    • HMMsmooth.m
    • HMMforward.m
    • HMMbackward.m
    • logsumexp.m
    • HMMgamma.m
    • mixMarkov.m
    • pointsCov.m
    • GMMem.m
    • Kmeans.m
    • MIXprodBern.m
    • LDSsmooth.m
    • LDSsubspace.m
    • LDSforwardUpdate.m
    • LDSbackwardUpdate.m
    • LDSforward.m
    • LDSbackward.m
    • SLDSforward.m
    • SLDSbackward.m
    • logeps.m
    • mix2mix.m
    • placeobject.m
    • sumlog.m
    • metropolis.m
    • logp.m
    • compat.m
    • betaXbiggerY.m
    • HebbML.m
    • NaiveBayesTrain.m
    • NaiveBayesTest.m
    • NaiveBayesDirichletTrain.m
    • NaiveBayesDirichletTest.m
    • logZdirichlet.m
    • SARlearn.m
    • ARtrain.m
    • HMMforwardSAR.m
    • HMMbackwardSAR.m
    • HMMsmoothSAR.m
    • ARlds.m
    • pca.m
    • hinton.m
    • FA.m
    • plotCov.m
    • GaussCond.m
    • SVMtrain.m
    • cca.m
    • SLDSmargGauss.m
    • binaryMRFmap.m
    • GPclass.m
    • cliquedecomp.m
    • rasch.m
    • conjgrad.m
    • Contents.m
  • 4.63 MB
  • 2012-3-20
  • GAUSS_Light_12_Win_32.zip

    本附件包括:
    • GAUSS_Light_12_Win_32.msi
  • 43.8 MB
  • 2012-1-24
  • Lectures on Gaussian Processes.rar
       springer新书

    本附件包括:
    • back-matter.pdf
    • front-matter.pdf
    • fulltext.pdf
  • 3.62 MB
  • 2012-1-18
  • gauss code for bayes .rar
       gauss code for bayes ,非常好的讲义和程序包,便宜卖给大家

    本附件包括:
    • Bam2 Short.pdf
    • Bam2 Gauss.pdf
    • MCMC.zip
  • 1.82 MB
  • 2011-12-2
  • fffbc5bd352f.rar
       程序代码(51个)

    本附件包括:
    • gauss.m
    • cheb.m
    • chebfft.m
    • clencurt.m
    • p1.m
    • p2.m
    • p3.m
    • p4.m
    • p5.m
    • p6.m
    • p6u.m
    • p7.m
    • p8.m
    • p9.m
    • p10.m
    • p11.m
    • p12.m
    • p13.m
    • p14.m
    • p15.m
    • p16.m
    • p17.m
    • p18.m
    • p19.m
    • p20.m
    • p20u.m
    • p21.m
    • p22.m
    • p23.m
    • p23a.m
    • p24.m
    • p24fine.m
    • p25.m
    • p26.m
    • p27.m
    • p28.m
    • p28b.m
    • p29.m
    • p30.m
    • p30b.m
    • p30c.m
    • p31.m
    • p32.m
    • p33.m
    • p34.m
    • p35.m
    • p36.m
    • p37.m
    • p38.m
    • p39.m
    • p40.m
  • 26.86 KB
  • 2011-11-16
  • gauss_Panel.rar

    本附件包括:
    • gauss_Panel.prg
  • 2.88 KB
  • 2011-11-15
  • CCEgauss6_22Aug08.zip

    本附件包括:
    • CCEgauss6
    • CCEgauss6_out.txt
    • CCEgauss6_Readme.pdf
    • CCEtestdata.xls
  • 102.47 KB
  • 2011-10-21
  • Copula.zip
       Copula Function

    本附件包括:
    • GaussianCopula.m
    • TCopula.m
  • 561 Bytes
  • 2011-9-9
  • CR-Coursework3.rar

    本附件包括:
    • Default.m
    • GaussianCopula.m
    • Prob.m
    • TCopula.m
  • 841 Bytes
  • 2011-9-9
  • igaussian.rar

    本附件包括:
    • chap08_ex1_igaussian.odc
  • 2.42 KB
  • 2011-8-20
  • CIR 模型参数估计的GAUSS 程序代码.rar

    本附件包括:
    • CIR 模型参数估计的GAUSS 程序代码.pdf
  • 807.81 KB
  • 2011-6-21
  • GAUSS Language Reference.rar

    本附件包括:
    • GAUSS Language Reference.pdf
  • 3.29 MB
  • 2011-6-4
  • Pinggu_REF.rar

    本附件包括:
    • Sargan & Bhargava_1983_Testing Residuals from Least Squares Regression for Being Generated by the Gaussian Random Walk.pdf
  • 350.68 KB
  • 2011-5-27
  • STAT207e3.pdf
       d. Computing derivatives (Gauss-Seidel iteration, Newton's Method)

  • 459.6 KB
  • 2011-4-4
  • Data Mining课件.zip

    本附件包括:
    • discrete_and_linear_gaussian_models.pdf
    • vb_2d_gaussian.pdf
    • conditional_independence.pdf
    • em_for_bayesian_regression.pdf
    • em_in_general.pdf
    • factor_graphs_and_the_sum_product_algorithm.pdf
    • graphical_model_notation.pdf
    • inference_on_a_chain.pdf
    • Introduction.pdf
    • LDA.pdf
    • Markov_Chain_Monte_Carlo.pdf
    • markov_random_fields.pdf
    • mixture_models_and_em_for_gmm.pdf
    • Multivariate Gaussian.pdf
    • sampling_basic.pdf
    • sum_and_product_rules.pdf
    • varitional_inference.pdf
    • vb_gmm.pdf
    • vb_usage.pdf
  • 28.6 MB
  • 2011-4-3
  • Quantitative Analysis with Gauss课件II.rar

    本附件包括:
    • COURSE MATERIAL.docx
    • outline.docx
  • 11.73 MB
  • 2011-3-24
  • GAUSS Help_v11.rar

    本附件包括:
    • GAUSS_v11.chm
  • 2.46 MB
  • 2011-3-23
  • Gauss GRTM_v10.rar

    本附件包括:
    • Gauss GRTM_v10.0.3.1390.exe
  • 15.92 MB
  • 2011-3-23
  • GAUSS-Light_v10_Linux Pentium 32.tar.rar

    本附件包括:
    • GAUSS-Light_v10_Linux Pentium 32.tar.gz
  • 5.77 MB
  • 2011-3-8
  • GAUSS-Light_v10_MAC OS Xu.rar

    本附件包括:
    • GAUSS-Light_v10_MAC OS Xu.dmg
  • 18.21 MB
  • 2011-3-8
  • GAUSS-Light_v10_Win32.zip

    本附件包括:
    • ISSetup.dll
    • _Setup.dll
    • data1.cab
    • data1.hdr
    • data2.cab
    • layout.bin
    • setup.bmp
    • setup.exe
    • setup.ini
    • setup.inx
  • 14.66 MB
  • 2011-3-8
  • GAUSS_v11_Linux-AMD 64.tar.rar

    本附件包括:
    • GAUSS_v11_Linux-AMD 64.tar.gz
  • 43.41 MB
  • 2011-3-8
  • GAUSS_Light_11_Mac_OSX.zip

    本附件包括:
    • GAUSS_Light_11.10.pkg
  • 31.65 MB
  • 2011-3-3
  • GAUSS_v11.rar

    本附件包括:
    • GAUSS_v11.msi
  • 41.04 MB
  • 2011-1-31
  • GAUSS_7.0_Manual.zip

    本附件包括:
    • LanguageReference7.0.pdf
    • QuickStart7.0.pdf
    • UserGuide7.0.pdf
  • 8.11 MB
  • 2011-1-18
  • GAUSS_Light_7.0_Win.zip

    本附件包括:
    • data1.cab
    • data1.hdr
    • data2.cab
    • engine32.cab
    • layout.bin
    • setup.bmp
    • setup.boot
    • setup.exe
    • setup.ini
    • setup.inx
  • 8.39 MB
  • 2011-1-18
  • reference.zip

    本附件包括:
    • cml1.0.41.pdf
    • co2.0.6.pdf
    • coint20.pdf
    • GMM.pdf
    • ml5.0.pdf
    • nlsys.pdf
    • optmum3.1.10.pdf
    • ts4.0.pdf
    • TSAGAUSS.PDF
  • 3.06 MB
  • 2010-10-21
  • Bayesian analysis and MCMC 4.zip

    本附件包括:
    • Discrete-Time Stochastic Volatili.pdf
    • discussion of MCMC-based inference by R.pdf
    • Estimation of Stochastic Volatility Models- An.pdf
    • Inference With Non-Gaussian Ornstein-Uhlenbeck Processes.pdf
    • LectureNotes_6 MCMC.pdf
    • marginal likelihood from Gibbs output.pdf
    • marginal likelihood from metropolis-hasting output.pdf
    • Markov Chain Monte Carlo for Statistical Inference.pdf
    • Markov Chain Monte Carlo Methods for Bayesian Analysis.pdf
    • Markov Chain Monte Carlo methods for Generalized Stochastic Volatility Models.pdf
    • markov chain monte carlo simulation methods in econometrics.pdf
    • Markov Chains for Exploring Posterior Distributions Luke Tierney.pdf
  • 5.12 MB
  • 2010-9-5
  • Bayesian analysis and MCMC 2.zip

    本附件包括:
    • on mcmc method for nonlinear and non-gaussian state-space model.pdf
    • monte carlo integration with markov chain.pdf
    • Monte carlo methods and bayesian computation.pdf
    • monte carlo sampling using markov chain and their applications.pdf
    • On leverage in a stochastic volat.pdf
    • PARAMETER ESTIMATION IN STOCHASTI.pdf
    • Parameterisation and Efficient MC.pdf
    • Probabilistic Inference Using MCMC.pdf
    • Robust Bayesian Analysis of Heavy.pdf
    • Simulation and Monte Carlo with Applications,Dagpunar - John Wiley.pdf
    • Stochastic Volatility- Likelihood Inference and Comparison with ARCH Models.pdf
    • student-seminar.pdf
    • The Calculation of Posterior Distributions by Data Augmentation .pdf
  • 15.74 MB
  • 2010-9-5
  • GAUSS9 Setup.rar

    本附件包括:
    • Setup.exe
  • 17.14 MB
  • 2010-9-4
  • abbr_c2fbb3632d126c4028685fc22b7158d3.rar

    本附件包括:
    • A Gauss Procedure to Estimate Panel-Corrected-Standard-Errors with Non-rectangular andor Missing Data.pdf
  • 34.02 KB
  • 2010-8-23
  • Selected GAUSS Commands by Category.rar

    本附件包括:
    • Selected GAUSS Commands by Category.pdf
  • 303.05 KB
  • 2010-8-23
  • A Short Introduction to GAUSS.rar

    本附件包括:
    • A Short Introduction to GAUSS.pdf
  • 99.13 KB
  • 2010-8-23
  • GaussCode_Inf_Persistence.zip

    本附件包括:
    • us_def_inf.txt
    • sb_drift.prg
    • readme.txt
  • 9.87 KB
  • 2010-7-27
  • Gauss Programs and Data.zip

    本附件包括:
    • MON46M.DAT
    • MON46Q.DAT
    • MON47M.DAT
    • MON47Q.DAT
    • MON59M.DAT
    • shifts.prg
  • 11.83 KB
  • 2010-7-14
  • 悉尼大学计量经济荣誉学位讲座专题.rar
       悉尼大学计量经济荣誉学位讲座

    本附件包括:
    • 9-Probit Model with endogeneity.pdf
    • 10-Tobit most recent 2.pdf
    • 11-Sample Selection Model modified.pdf
    • 12-ordered probit.pdf
    • 13-Delta Method.pdf
    • 14-multinomial discrete.pdf
    • 15-Mutinomial Logit Model with Endogeneity.pdf
    • Practice questions.pdf
    • sample.pdf
    • Sample 2.pdf
    • Sample Questions for Mid.pdf
    • Suggested Answers for Selected Questions in the Midterm Exam.pdf
    • 1-Endogeneity OLS&IV.pdf
    • 2-Applications of IV .pdf
    • 3-Heteroskedasticy-robust standard errors & Some Specification Tests.pdf
    • 4-Panel Data Methods.pdf
    • 5-Panel Data Methods Application (matched pair).pdf
    • 6-Binary Choice Models.pdf
    • 7-Numerical Optimization.pdf
    • 8-Introduction to Gauss ECMT4030.pdf
  • 2.93 MB
  • 2010-6-25
  • Ch3_Nonlinear Model by Gauss.rar

    本附件包括:
    • Ch3_Nonlinear Model by Gauss.ppt
  • 145.85 KB
  • 2010-5-16
  • 001.rar

    本附件包括:
    • gaussian_reflection.pot
    • focal_point.pot
    • geo_swirl.pot
    • festive_festivity.pot
    • glass_signature.pot
    • crimson_landscape.pot
    • digital_rapture.pot
    • frosted_glass.pot
    • crisp_cardboard.pot
    • delta_gamma.pot
  • 4.8 MB
  • 2010-5-3
  • Ch2_Gauss.zip
       software chapter 02

    本附件包括:
    • DFORRT.DLL
    • Tools.dll
    • Readme_Ch2.txt
  • 478.59 KB
  • 2010-4-12
  • 高斯资料全面汇集.zip

    本附件包括:
    • a short introduction to Gauss in windows.pdf
    • Gauss Basics.doc
    • Gauss_Intro.pdf
    • 高斯入门.rar
    • 高斯软件函数程序大全.pdf
  • 40.39 MB
  • 2010-3-1
  • Aptech.GAUSS.v10.0.0.1276.Cracked-EAT.rar

    本附件包括:
    • eatag10d.zip
    • file_id.diz
    • eatag10a.zip
    • eatag10c.zip
    • eatag10f.zip
    • eat.nfo
    • eatag10b.zip
    • eatag10e.zip
  • 27.42 MB
  • 2010-1-19
  • Crack.rar

    本附件包括:
    • gauss.exe
    • tgauss.exe
    • pqge.ebl
    • tcollect.exe
  • 2.87 MB
  • 2010-1-17
  • gauss2.rar

    本附件包括:
    • gauss 8.0 最新版下载.rar
    • 林光平《计量经济学家和金融分析师GAUSS编程与应用》以及GPE7.0和GPE8.0,和gauss系与时间序列4.rar
    • 完全破解的 Gauss 8 软件包4.rar
    • 计算马尔可夫转换模型的GAUSS程序及例子.zip
  • 45.69 MB
  • 2010-1-2
  • gauss1.rar

    本附件包括:
    • gauss 7.0 下載.zip
    • 林光平《计量经济学家和金融分析师GAUSS编程与应用》以及GPE7.0和GPE8.0,和gauss系与时间序列1.rar
    • 林光平《计量经济学家和金融分析师GAUSS编程与应用》以及GPE7.0和GPE8.0,和gauss系与时间序列3.rar
    • 林光平《计量经济学家和金融分析师GAUSS编程与应用》以及GPE7.0和GPE8.0,和gauss系与时间序列2.rar
    • gmm估计.rar
    • 完全破解的 Gauss 8 软件包1.rar
    • 完全破解的 Gauss 8 软件包3.rar
    • Markov Chain Monte Carlo[GAUSS]程序+手册.zip
    • 完全破解的 Gauss 8 软件包2.rar
    • 前沿效率估计的GAUSS程序、DEAP软件和EMS软件.rar
    • Gauss系统介绍.rar
    • Download for CML module for Gauss SRC files1.rar
    • Download for CML module for Gauss SRC files2.rar
    • G.A.U.S.S..9.0含破解.zip
  • 48.12 MB
  • 2010-1-2
  • GAUSS_Light_8.0_Win.zip

    本附件包括:
    • ISSetup.dll
    • _Setup.dll
    • data1.cab
    • data1.hdr
    • data2.cab
    • layout.bin
    • setup.bmp
    • setup.exe
    • setup.ini
    • setup.inx
  • 13.27 MB
  • 2009-11-22
  • Kao和Chiang2000年做Fmols和Dols估计的完整版.rar

    本附件包括:
    • Kao and Chiang 2000-On the estimation and inference of a cointegrated regression in panel data.pdf
    • Kao2000GAUSS program.src
  • 376.92 KB
  • 2009-7-31
  • GAUSS_9.0_Win_32.zip

    本附件包括:
    • Setup.exe
    • crack.zip
  • 22.27 MB
  • 2009-7-5
  • GAUSS 7.0.rar

    本附件包括:
    • gauss.zip
    • datatool.zip
    • engine.zip
    • file_id.diz
    • tbe.nfo
  • 44.67 MB
  • 2009-6-18
  • 333885.zip
       [推荐]单一时间序列门限协整的GAUSS程序

    本附件包括:
    • zeroyld.dat
    • tar_ci.prg
    • tar_rate.prg
    • ur_rate.prg
    • readme.txt
    • tar.prc
  • 70.87 KB
  • 2009-6-6
  • 326061.rar
       Kao和Chiang2000年做Fmols和Dols估计的文章与Gauss程序,以及coint2程序

    本附件包括:
    • Kao and Chiang 2000-On the estimation and inference of a cointegrated regression in panel data.pdf
    • Kao2000GAUSS program.src
  • 376.92 KB
  • 2009-5-16
  • 325032.pdf
       Financial Modeling Under Non-Gaussian Distribution ebook

  • 6.19 MB
  • 2009-5-13
  • 320350.zip
       [下载] Structural Macroeconometrics

    本附件包括:
    • chapp-intro to gauss.pdf
    • ch00.pdf
    • ch01.pdf
    • ch02.pdf
    • ch02 stochastic processes.pdf
    • ch03 Forecasting.pdf
    • ch04 ARMA n VAR representation.pdf
    • ch05 stochastic regression.pdf
    • ch06 estimation of LR cov matrix.pdf
    • ch07 testing linear forecasting model.pdf
    • ch08 VAR techniques.pdf
    • ch09 GMM.pdf
    • ch10 application of GMM.pdf
    • ch11 UR.pdf
    • ch12 coint n spurious.pdf
    • ch13 cointg.pdf
    • ch14.pdf
    • ch15 VAR UR.pdf
    • ch16 panel.pdf
    • chapp-complex variable spectrum.pdf
  • 3.3 MB
  • 2009-4-30
  • 317346.rar
       [分享]Financial Modeling Under Non-Gaussian Distributions

  • 7.96 MB
  • 2009-4-20
  • 311936.zip
       [下载]gauss9.0破解版

    本附件包括:
    • Setup.exe
    • crack.zip
  • 22.27 MB
  • 2009-4-5
  • 308778.rar
       求购计量经济学家和金融分析师GAUSS编程与应用(林光平)》书中光盘

  • 15.71 MB
  • 2009-3-28
  • 306223.zip
       [分享]program for running structure VAR in Gauss

  • 67.29 KB
  • 2009-3-21
  • 302745.rar
       面板数据动态广义距估计文献及gauss程序

    本附件包括:
    • GAUSS program that compares GMM techniques for dynamic panel data models.txt
    • panel data dynamic gmm.pdf
    • dynamic panel data gmm.txt
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  • 2009-3-12
  • 300605.rar
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  • 4.05 KB
  • 2009-3-6
  • 296613.rar
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  • 2009-2-24
  • 296593.rar
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  • 2009-2-24
  • 294353.rar
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    • GAUSS_8.0_Linux_pentium_32.tar.gz
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  • 11.04 MB
  • 2009-2-17
  • 294331.zip
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  • 1017.87 KB
  • 2009-2-17
  • 294329.zip
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  • 2.75 MB
  • 2009-2-17
  • 294328.zip
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  • 2.75 MB
  • 2009-2-17
  • 294327.zip
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    本附件包括:
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  • 2.75 MB
  • 2009-2-17
  • 294326.zip
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  • 2.75 MB
  • 2009-2-17
  • 294325.zip
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  • 2.75 MB
  • 2009-2-17
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  • 2009-2-12
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  • 2009-1-26
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  • 2009-1-26
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  • 2009-1-26
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  • 2009-1-26
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  • 2009-1-24
  • 278836.rar
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  • 446.44 KB
  • 2008-12-21
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  • 36.74 KB
  • 2008-12-12
  • 275540.rar
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  • 2008-12-11
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  • 2008-12-4
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  • 2008-12-3
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  • 2008-12-3
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  • 22.27 MB
  • 2008-12-2
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  • 2008-11-25
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  • 2008-11-25
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  • 37.17 KB
  • 2008-11-16
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       [原创]给Gauss爱好者贡献一个好东东,Green第五版习题以及例子相关code

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  • 2008-11-13
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  • 2008-11-13
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  • 2008-10-12
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  • 2008-10-5
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  • 2008-9-11
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  • 2008-6-28
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  • 2008-6-28
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  • 2008-6-28
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  • 2008-6-26
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  • 8.3 MB
  • 2008-6-26
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  • 2008-6-26
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  • 2008-6-26
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  • 16.36 KB
  • 2008-6-26
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  • 191 Bytes
  • 2008-6-24
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  • 2008-6-24
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  • 2008-6-24
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