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  • 数据挖掘实战-京东购买意向预测.part01.rar
       1

    本附件包括：
    • feature_importance_10-24.csv
    • 1-数据清洗.ipynb
    • 2-数据探索.ipynb
    • 3-特征工程.ipynb
    • 4-Xgboost模型.ipynb
    • bst.model
    • Data_Explore.ipynb
    • label_val_3.csv
    • README.md
    • train_set.csv
    • val_3.csv
    • xgb.fmap
  • 98 MB
  • 2024-2-17

  • The Logic of Typed Feature Structures.zip
       The Logic of Typed Feature Structures

    本附件包括：
    • The Logic of Typed Feature Structures.DJVu
  • 1.56 MB
  • 2023-9-29

  • 中国环境政策强度.zip

    本附件包括：
    • Feature words of China's environmental policies.xlsx
    • Key variables importance.xlsx
    • 数据说明（中国环境政策强度）.docx
    • 1978-2019年中国环境政策强度.zip
  • 702.71 KB
  • 2022-11-3

  • code.rar
       cnn predict classify

    本附件包括：
    • convolution_f1.m
    • crtimg.m
    • getRotationInvariantLBPFeature.m
    • imageholiday.m
    • init_kernel.m
    • NormalizeQ.m
    • pooling.m
    • quatt.m
    • searchfc.m
    • tcnn.m
    • CNN_upweight.m
    • convolution.m
  • 8.41 KB
  • 2020-11-25

  • ee559-slides-all-part1.zip
       Part1

    本附件包括：
    • ee559-slides-3-3-features.pdf
    • ee559-slides-1-1-from-anns-to-deep-learning.pdf
    • ee559-slides-1-2-current-success.pdf
    • ee559-slides-1-3-what-is-happening.pdf
    • ee559-slides-1-4-tensors-and-linear-regression.pdf
    • ee559-slides-1-5-high-dimension-tensors.pdf
    • ee559-slides-1-6-tensor-internals.pdf
    • ee559-slides-10-1-autoregression.pdf
    • ee559-slides-10-2-causal-convolutions.pdf
    • ee559-slides-10-3-NVP.pdf
    • ee559-slides-2-1-loss-and-risk.pdf
    • ee559-slides-2-2-overfitting.pdf
    • ee559-slides-2-3-bias-variance-dilemma.pdf
    • ee559-slides-2-4-evaluation-protocols.pdf
    • ee559-slides-2-5-basic-embeddings.pdf
    • ee559-slides-3-1-perceptron.pdf
    • ee559-slides-3-2-LDA.pdf
    • ee559-slides-3-4-MLP.pdf
    • ee559-slides-3-5-gradient-descent.pdf
    • ee559-slides-3-6-backprop.pdf
    • ee559-slides-4-1-DAG-networks.pdf
    • ee559-slides-4-2-autograd.pdf
    • ee559-slides-4-3-modules-and-batch-processing.pdf
    • ee559-slides-4-4-convolutions.pdf
    • ee559-slides-4-5-pooling.pdf
    • ee559-slides-4-6-writing-a-module.pdf
    • ee559-slides-5-1-cross-entropy-loss.pdf
    • ee559-slides-5-2-SGD.pdf
    • ee559-slides-5-3-optim.pdf
    • ee559-slides-5-4-l2-l1-penalties.pdf
    • ee559-slides-5-5-initialization.pdf
    • ee559-slides-5-6-architecture-and-training.pdf
    • ee559-slides-5-7-writing-an-autograd-function.pdf
    • ee559-slides-6-1-benefits-of-depth.pdf
    • ee559-slides-6-2-rectifiers.pdf
    • ee559-slides-6-3-dropout.pdf
    • ee559-slides-6-4-batch-normalization.pdf
    • ee559-slides-6-5-residual-networks.pdf
    • ee559-slides-6-6-using-GPUs.pdf
    • ee559-slides-7-1-transposed-convolutions.pdf
    • ee559-slides-7-2-autoencoders.pdf
    • ee559-slides-7-3-denoising-autoencoders.pdf
    • ee559-slides-7-4-VAE.pdf
    • ee559-slides-8-1-CV-tasks.pdf
    • ee559-slides-8-2-image-classification.pdf
    • ee559-slides-8-3-object-detection.pdf
    • ee559-slides-8-4-segmentation.pdf
    • ee559-slides-8-5-dataloader-and-surgery.pdf
    • ee559-slides-9-1-looking-at-parameters.pdf
    • ee559-slides-9-2-looking-at-activations.pdf
    • ee559-slides-9-3-visualizing-in-input.pdf
    • ee559-slides-9-4-optimizing-inputs.pdf
  • 68.9 MB
  • 2020-8-31

  • ee559-handout-all-part1.zip
       讲义的第一部分

    本附件包括：
    • ee559-handout-3-3-features.pdf
    • ee559-handout-1-1-from-anns-to-deep-learning.pdf
    • ee559-handout-1-2-current-success.pdf
    • ee559-handout-1-3-what-is-happening.pdf
    • ee559-handout-1-4-tensors-and-linear-regression.pdf
    • ee559-handout-1-5-high-dimension-tensors.pdf
    • ee559-handout-1-6-tensor-internals.pdf
    • ee559-handout-10-1-autoregression.pdf
    • ee559-handout-10-2-causal-convolutions.pdf
    • ee559-handout-10-3-NVP.pdf
    • ee559-handout-2-1-loss-and-risk.pdf
    • ee559-handout-2-2-overfitting.pdf
    • ee559-handout-2-3-bias-variance-dilemma.pdf
    • ee559-handout-2-4-evaluation-protocols.pdf
    • ee559-handout-2-5-basic-embeddings.pdf
    • ee559-handout-3-1-perceptron.pdf
    • ee559-handout-3-2-LDA.pdf
    • ee559-handout-3-4-MLP.pdf
    • ee559-handout-3-5-gradient-descent.pdf
    • ee559-handout-3-6-backprop.pdf
    • ee559-handout-4-1-DAG-networks.pdf
    • ee559-handout-4-2-autograd.pdf
    • ee559-handout-4-3-modules-and-batch-processing.pdf
    • ee559-handout-4-4-convolutions.pdf
    • ee559-handout-4-5-pooling.pdf
    • ee559-handout-4-6-writing-a-module.pdf
    • ee559-handout-5-1-cross-entropy-loss.pdf
    • ee559-handout-5-2-SGD.pdf
    • ee559-handout-5-3-optim.pdf
    • ee559-handout-5-4-l2-l1-penalties.pdf
    • ee559-handout-5-5-initialization.pdf
    • ee559-handout-5-6-architecture-and-training.pdf
    • ee559-handout-5-7-writing-an-autograd-function.pdf
    • ee559-handout-6-1-benefits-of-depth.pdf
    • ee559-handout-6-2-rectifiers.pdf
    • ee559-handout-6-3-dropout.pdf
    • ee559-handout-6-4-batch-normalization.pdf
    • ee559-handout-6-5-residual-networks.pdf
    • ee559-handout-6-6-using-GPUs.pdf
    • ee559-handout-7-1-transposed-convolutions.pdf
    • ee559-handout-7-2-autoencoders.pdf
    • ee559-handout-7-3-denoising-autoencoders.pdf
    • ee559-handout-7-4-VAE.pdf
    • ee559-handout-8-1-CV-tasks.pdf
    • ee559-handout-8-2-image-classification.pdf
    • ee559-handout-8-3-object-detection.pdf
    • ee559-handout-8-4-segmentation.pdf
    • ee559-handout-8-5-dataloader-and-surgery.pdf
    • ee559-handout-9-1-looking-at-parameters.pdf
    • ee559-handout-9-2-looking-at-activations.pdf
    • ee559-handout-9-3-visualizing-in-input.pdf
    • ee559-handout-9-4-optimizing-inputs.pdf
  • 69.72 MB
  • 2020-8-31

  • 上市公司基本信息特色指标表.zip
       2006-2018年

    本附件包括：
    • AF_CfeatureProfile.csv
    • AF_CfeatureProfile[DES][csv].txt
    • AF_CfeatureProfile[Stata].txt
    • 版权声明.pdf
  • 860.64 KB
  • 2020-5-16

  • Excel2019InsideOutCompanionFiles.zip
       Source Code

    本附件包括：
    • 28-PowerBISampleData.xlsx
    • 01-NewFeatures.xlsx
    • 02-ExcelInterface.xlsm
    • 03-CustomizeExcel.xlsx
    • 04-KeyboardShortcuts.xlsm
    • 05-Formulas.xlsm
    • 06-Formulas.xlsm
    • 07-UnderstandingFunctions.xlsx
    • 08-Dates.xlsm
    • 08-Sum.xlsm
    • 08-TextFunctions.xlsm
    • 09-Cell.xlsm
    • 09-DatabaseFunctions.xlsm
    • 09-Formulas.xlsm
    • 09-IsFunctions.xlsm
    • 09-LinkedData.xlsm
    • 09-Logical.xlsm
    • 09-Lookup.xlsm
    • 09-NA.xlsm
    • 09-YTD.xlsm
    • 10-OtherFunctions.xlsm
    • 11-Link To Me.xlsm
    • 11-LinkingWorksheetsA.xlsm
    • 11-LinkSyntax.xlsm
    • 11-LinkToMissing.xlsm
    • 11-ReadMeForInfo.xlsx
    • 12-ArrayFormulas.xlsm
    • 12-CreateNames.xlsm
    • 12-FromSelection.xlsm
    • 12-MonsterFormulas.xlsm
    • 12-PreviousSheet.xlsm
    • 12-SpearingFormula.xlsm
    • 12-Transpose.xlsm
    • 13-PowerQuery.xlsm
    • 13-UglyData.xlsm
    • 14-Filtering.xlsm
    • 14-Subtotals.xlsx
    • 15-PivotTables.xlsx
    • 16-Slicers.xlsx
    • 17-PowerPivot.xlsm
    • 18-Scenario.xlsm
    • 18-WhatIf.xlsm
    • 19-Customers.xlsm
    • 19-Invoices.xlsx
    • 19-Looping.xlsm
    • 19-MacroToImportInvoices.xlsm
    • 19-MailingList.xlsm
    • 20-Tips.xlsm
    • 21-FormattingExamples.xlsm
    • 21-ThemeApex.xlsm
    • 21-Themes.xlsm
    • 22-DataVisualizations.xlsx
    • 23-Charting.xlsm
    • 23-Charting2.xlsm
    • 24-CornProduction.xlsm
    • 24-CustomMap.xlsm
    • 24-FloridaCity.xlsm
    • 24-MapTwoLayers.xlsm
    • 24-PowerMapFlight.xlsx
    • 24-PowerMapHomeSearch.xlsm
    • 24-StoreMap.jpg
    • 25-Sparklines.xlsm
    • 26-3DModel.xlsx
    • 26-Art.xlsx
    • 26-Pictures.xlsm
    • 27-Printing.xlsm
    • 27-Solver.xlsx
    • 27-WillItRender.xlsm
    • 28-PowerBI.pbix
  • 18.42 MB
  • 2020-5-8

  • 上市公司基本信息特色指标表220435886.zip
       5

    本附件包括：
    • AF_CfeatureProfile.xlsx
    • AF_CfeatureProfile[DES][xlsx].txt
    • 版权声明.pdf
  • 1.92 MB
  • 2020-5-6

  • Desktop111.zip

    本附件包括：
    • feature.pickle
    • y_b.pickle
    • y_h.pickle
  • 25.48 KB
  • 2019-8-13

  • Desktop.zip

    本附件包括：
    • feature0809.pickle
    • y_b0809.pickle
    • y_h0809.pickle
  • 2.07 KB
  • 2019-8-9

  • featureSelection.zip
       Feature selection in python

    本附件包括：
    • featureSelection.py
  • 1.27 KB
  • 2019-6-18

  • 论文.rar

    本附件包括：
    • Combining multiple feature selection methods for stock prediction_ Union, intersection, and multi-intersection approaches.pdf
    • 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
    • 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

  • financial market bubbles and crashes - features, causes, and effects (2ed 2018).rar
       financial market bubbles and crashes - features, causes, and effects (2ed 2018)

    本附件包括：
    • financial market bubbles and crashes - features, causes, and effects (2ed 2018).epub
  • 11.64 MB
  • 2018-8-17

  • 上市公司基本信息特色指标表092110968.zip
       2015-2017，来源国泰安数据库

    本附件包括：
    • AF_CfeatureProfile.xlsx
    • AF_CfeatureProfile[DES][xlsx].txt
    • 版权声明.pdf
  • 704.92 KB
  • 2018-3-14

  • Sciencedirect_articles_25Sep2017_07-07-02.395.zip

    本附件包括：
    • Chapter-19-Cocaine-Protein-Kinase-and-Phosphorylation-of-Neuronal-Receptors_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-22-Cocaine-and-Brain-Acid-Sensing-Ion-Channels_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-12-Cocaine-and-Transcription-Factors_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-8-Global-Approaches-in-the-Analysis-of-Cocaine-Induced-Gene-Expression_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-71-Negative-Allosteric-Modulators-of-the-Metabotropic-Glutamate-Receptor-Subtype-5-for-the-Treatment-of-Cocaine-Use-Disorder_2017_The-Neurosci.pdf
    • Chapter-4-Strokes-Associated-With-Cocaine-Use_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-43-Cocaine-Addiction-and-Adenosine-A1-and-A2A-Receptors_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-23-Oxytocin-s-Effects-in-Cocaine-and-Other-Psychostimulant-Addictions_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-72-Treating-Cocaine-Addiction-With-Motivational-Interviewing_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-61-Toxicological-Analysis-for-Cocaine-Use_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-35-Very-Long-Term-Effects-of-Chronic-Cocaine-on-Anxiety-and-Stress_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-18-The-Proteomics-of-Cocaine-in-the-Nucleus-Accumbens_2017_The-Neuroscience-of-Cocaine.pdf
    • Index_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-55-Ventromedial-Prefrontal-Cortex-Glutamate-and-Cocaine-Craving-During-Abstinence_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-29-Mesolimbic-Dopamine-Signaling-in-Cocaine-Addiction_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-41-Cocaine-Seeking-Behavior-Comparisons-to-Food-Seeking-Behavior-and-Potential-Treatments_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-25-Prenatal-Cocaine-Induced-Alterations-in-Dendritic-Spine-Density-and-Glutamate-Neurotransmission_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-44-Cocaine-and-5-HT1B-Receptor-Induced-Long-Term-Depression_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-66-Biperiden-in-the-Treatment-of-Cocaine-Crack-Dependence-Clinical-Perspectives_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-40-Cognitive-Dysfunctions-in-Chronic-Cocaine-Users_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-64-Antipsychotic-Drugs-in-Cocaine-Use-Disorder_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-17-Neurological-Aspects-of-Cocaine-and-the-Suprachiasmatic-Circadian-Clock_2017_The-Neuroscience-of-Cocaine.pdf
    • Recommended-Research-and-Resources-on-the-Neuroscience-of-Cocaine-Mechanisms-and-Treatment_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-52-Cocaine-Induced-Metaplasticity-in-the-CA1-Region-of-the-Hippocampus_2017_The-Neuroscience-of-Cocaine.pdf
    • Front-matter_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-67-Actions-of-Butyrylcholinesterase-Against-Cocaine_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-5-Concentrations-of-Cocaine-in-Blood-Samples-From-Impaired-Drivers-and-Drug-Related-Deaths_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-54-Cocaine-and-Dysregulated-Synaptic-Transmission-in-the-Bed-Nucleus-of-the-Stria-Terminalis_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-58-Nicotine-and-Cocaine-Interactions-Focus-on-Dopamine-Pharmacology-Neuroadaptations-and-Behavior-Relevant-to-Addiction_2017_The-Neuroscience-.pdf
    • Chapter-42-Impact-of-Prenatal-Cocaine-Exposure-on-Adolescent-Behavior_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-37-Headache-in-Cocaine-Users-Epidemiology-Clinical-Features-and-Putative-Pathophysiological-Mechanisms_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-30-Cocaine-and-Striatal-Projection-Neuron-Subtype-Mechanisms_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-3-Contribution-of-Stress-to-Cocaine-Addiction_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-59-Pharmacological-Treatments-for-Alcohol-Cocaine-Interactions-A-Preclinical-Focus_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-38-Cocaine-and-Intertemporal-Decision-Making_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-27-Cocaine-Addiction-and-mGluR5-Recent-Advances-From-Behavioral-and-Positron-Emission-Tomography-Studies_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-28-Cocaine-Ghrelin-and-the-Mesolimbic-System_2017_The-Neuroscience-of-Cocaine.pdf
    • Preface_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-68-Cocaine-and-Butyrylcholinesterase-Gene-Therapy_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-26-The-Role-of-the-Hippocampus-in-Cocaine-Responses_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-46-The-Role-of-Dopamine-D3-Receptors-in-Cocaine-Related-Behavior_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-51-Cocaine-Enhances-Gamma-Aminobutyric-Acid-Release-From-Reticular-Thalamic-Nucleus-Role-of-T-Type-Calcium-Channels_2017_The-Neuroscience-of-C.pdf
    • Chapter-56-Brain-Derived-Neurotrophic-Factor-in-Cocaine-Withdrawal_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-48-Trace-Amine-Associated-Receptor-1-and-Cocaine-Abuse_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-7-Cocaine-Adulterants-and-Effects-on-Monoamine-Transporters_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-49-Cocaine-and-Cerebral-Sigma-1-Receptor-Occupancy_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-50-The-Glutamate-Transporter-GLT1-and-Cocaine-Relapse_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-63-Medication-Strategies-for-the-Management-of-Cocaine-Use-Disorder_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-11-MicroRNAs-and-Cocaine_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-13-Cocaine-and-Posttranslational-Modifications-of-Neuronal-Proteins_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-9-Cocaine-and-Epigenetics-An-Overview_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-70-Cannabinoid-CB2-Receptor-A-New-Target-for-Treatment-of-Cocaine-Addiction_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-16-Critical-Role-of-d-Serine-Signaling-in-Synaptic-Plasticity-Relevant-to-Cocaine-Addiction_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-10-DNA-Methylation-Psychostimulant-Induced-Addiction-and-the-Position-of-Cocaine_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-45-Hippocampal-Contributions-to-Dopamine-Receptor-Mediated-Effects-of-Cocaine_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-32-The-Role-of-the-Habenulomesencephalic-Circuit-in-Cocaine-Addiction_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-47-Cocaine-Endorphin-and-Opioid-Receptors_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-65-Use-of-N-Acetylcysteine-in-Relapse-and-Cocaine-Addiction_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-53-Interaction-of-Cocaine-Analogue-RTI82-With-the-Dopamine-Transporter_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-6-Cocaine-Postmortem-Distribution-in-Brain_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-69-Patient-Responses-to-Guanfacine-in-Cocaine-Addiction_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-2-Sex-Differences-in-the-Effects-and-Actions-of-Cocaine_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-21-Role-of-Mitochondria-on-the-Neurological-Effects-of-Cocaine_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-34-Stroop-Cocaine-Dependence-and-Intrinsic-Connectivity_2017_The-Neuroscience-of-Cocaine.pdf
    • Copyright_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-36-Long-Lasting-Changes-Following-Repeated-Cocaine-Use-Behavioral-Sensitization-and-Neurotoxicity_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-33-Crack-Cocaine-and-Cognitive-Related-Electrophysiological-Changes-After-Noninvasive-Brain-Stimulation_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-57-Comorbidities-Associated-With-the-Use-and-Misuse-of-Crack-Cocaine_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-39-Cocaine-Dependence-and-Attention-Deficit-Hyperactivity-Disorder_2017_The-Neuroscience-of-Cocaine.pdf
    • List-of-Contributors_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-24-Hypocretin-Orexin-in-Models-of-Cocaine-Addiction_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-60-A-Review-of-Instruments-for-Screening-and-Diagnosis-of-Cocaine-Use_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-15-Mechanisms-That-Regulate-the-Expression-of-Dopamine-D1-Receptor-in-Cocaine-Addiction_2017_The-Neuroscience-of-Cocaine.pdf
    • Chapter-62-Cocaine-and-an-Overview-of-Neurocognitive-Relapse-Predictors_2017_The-Neuroscience-of-Cocaine.pdf
  • 45.94 MB
  • 2017-9-25

  • 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
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    • (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

  • Mastering Feature Engineering Principles and Techniques for Data Scientists.rar

    本附件包括：
    • Mastering Feature Engineering Principles and Techniques for Data Scientists.pdf
  • 2.52 MB
  • 2017-9-6

  • Classification, feature selection and prediction with neural-network Taguchisystem.rar

    本附件包括：
    • Classification, feature selection and prediction with neural-network Taguchisystem.pdf
  • 1.39 MB
  • 2017-8-14

  • Powerful Python - The Most Impactful Patterns, Features, and Development Strateg.rar

    本附件包括：
    • Powerful Python - The Most Impactful Patterns, Features, and Development Strategies Modern Python Provides,2ed.azw3
  • 369.07 KB
  • 2017-8-10

  • Cognitive Training_An Overview of Features and Applications.zip

    本附件包括：
    • Cognitive Training_An Overview of Features and Applications.pdf
    • Cognitive Training_An Overview of Features and Applications.epub
  • 5.18 MB
  • 2017-1-8

  • NTDA (pdf).zip

    本附件包括：
    • New Theory of Discriminant Analysis After R. Fisher_Advanced Research by the Feature Selection Method for Microarray Data.pdf
  • 2.97 MB
  • 2017-1-2

  • NTDA (epub).zip

    本附件包括：
    • New Theory of Discriminant Analysis After R. Fisher_Advanced Research by the Feature Selection Method for Microarray Data.epub
  • 2.02 MB
  • 2017-1-2

  • NTDA (pdf epub).zip

    本附件包括：
    • New Theory of Discriminant Analysis After R. Fisher_Advanced Research by the Feature Selection Method for Microarray Data.pdf
    • New Theory of Discriminant Analysis After R. Fisher_Advanced Research by the Feature Selection Method for Microarray Data.epub
  • 4.98 MB
  • 2017-1-2

  • MHC (pdf epub mobi).zip

    本附件包括：
    • Moving Hadoop to the Cloud_Harnessing Cloud Features and Flexibility for Hadoop Clusters.mobi
    • Moving Hadoop to the Cloud_Harnessing Cloud Features and Flexibility for Hadoop Clusters.pdf
    • Moving Hadoop to the Cloud_Harnessing Cloud Features and Flexibility for Hadoop Clusters.epub
  • 9.75 MB
  • 2017-1-2

  • MHC (pdf).zip

    本附件包括：
    • Moving Hadoop to the Cloud_Harnessing Cloud Features and Flexibility for Hadoop Clusters.pdf
  • 2.05 MB
  • 2017-1-2

  • MHC (mobi).zip

    本附件包括：
    • Moving Hadoop to the Cloud_Harnessing Cloud Features and Flexibility for Hadoop Clusters.mobi
  • 4.93 MB
  • 2017-1-2

  • MHC (epub).zip

    本附件包括：
    • Moving Hadoop to the Cloud_Harnessing Cloud Features and Flexibility for Hadoop Clusters.epub
  • 2.77 MB
  • 2017-1-2

  • Core Java, Volume II-Advanced Features (10th Edition).zip

    本附件包括：
    • Core Java, Volume II-Advanced Features (10th Edition).azw3
  • 70.12 MB
  • 2016-12-11

  • investigating the performance of chinese banks - efficiency and risk features (2016).rar
       investigating the performance of chinese banks - efficiency and risk features (2016)

    本附件包括：
    • investigating the performance of chinese banks - efficiency and risk features (2016).pdf
  • 2.84 MB
  • 2016-11-26

  • the politics of EU-China economic relations - an uneasy partnership (2016) .rar
       investigating the performance of chinese banks - efficiency and risk features (2016) - yong tan

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  • 2016-11-26

  • 19e_Section_1.zip
       Instructor Resources, Chapter Features, and Case Overview

    本附件包括：
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  • 436.22 KB
  • 2016-9-14

  • Mastering Feature Engineering Principles and Techniques for Data Scientists (Ear.rar

    本附件包括：
    • Mastering Feature Engineering Principles and Techniques for Data Scientists (Early Release).epub
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  • 16.77 MB
  • 2016-6-26

  • Microsoft大数据解决方案.rar
       Microsoft SQL Server：　 　《Microsoft大数据解决方案》　　洞悉大数据、决策大格局。Microsoft SQL Serv ...

    本附件包括：
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  • 33.53 MB
  • 2016-4-9

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    本附件包括：
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  • 2 MB
  • 2016-2-21

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       matlab

    本附件包括：
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    • Chapter-10-Advanced-Functions_2013_Matlab-Third-Edition-.pdf
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    • Chapter-3-Introduction-to-MATLAB-Programming_2013_Matlab-Third-Edition-.pdf
    • Chapter-5-Loop-Statements-and-Vectorizing-Code_2013_Matlab-Third-Edition-.pdf
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  • 8.16 MB
  • 2016-1-23

  • Core Java, Volume II--Advanced Features.rar

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  • 39.32 MB
  • 2015-11-3

  • Fitch Ratings Report.rar
       惠誉关于资产证券化的报告

    本附件包括：
    • 20150630_APAC SF Chart of the Month – June 2015.pdf
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    • 20101008_Fitch Upgrades Kookmin Bank's Mortgage Covered Bonds to AAA(EXP)_Press Release.pdf
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    • 20150213_Fuyuan 2015-1 Retail Auto Mortgage Loan Securitization Trust_New issue report.pdf
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    • 20150430_Driver China One Trust_Performance Report.pdf
    • 20150525_China Asset Securitisation Potentially Positive for Banks_Press Release.pdf
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  • 10.73 MB
  • 2015-10-19

  • Computational Intelligence and Feature Selection.rar

    本附件包括：
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  • 2.32 MB
  • 2015-10-14

  • 19e_Section_1.pdf
       Instructor Resources, Chapter Features, and Case Overview

  • 742.01 KB
  • 2015-9-8

  • Community Evolution of Social Network Feature, Algorithm and Model.zip

    本附件包括：
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  • 827.45 KB
  • 2015-1-18

  • EViews 8-1.rar

    本附件包括：
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  • 2014-11-26

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  • 2014-9-26

  • EViews8.0.zip

    本附件包括：
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  • 741.92 KB
  • 2014-2-21

  • Matlab.zip
       全文

    本附件包括：
    • Matlab\20.Appendix I - MATLAB(R) Functions (not including those listed in the “Explore Other Interesting Features” sections), Pages 517-523.pdf
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  • 8.15 MB
  • 2014-2-13

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  • 2011-10-10

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  • 2011-7-30

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  • 2011-7-30

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    本附件包括：
    • Ex：2005, JOM，The Impact of Board Composition on Firms's Critical Decisions：A Meta-Analytic Review.pdf
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  • 1.98 MB
  • 2011-2-16

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       Support vector machines for credit scoring and discovery of significant features

  • 117.12 KB
  • 2011-1-19

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    本附件包括：
    • END OF CHAPTER FEATURES.pdf
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  • 2010-10-20

  • American Stories 2002.rar

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  • 2010-1-30

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    • MENU_S~1.XL_
    • MODELL~1.XL_
    • msacccah.dl_
    • msodeusa.dl_
    • mssetup.dl_
    • msvcrt20.dl_
    • oleaut32.dl_
    • OPTIMI~1.XL_
    • OPTIMI~2.XL_
    • OPTIMI~3.XL_
    • PORTFO~1.XL_
    • PPP_1.XL_
    • PPP_2.XL_
    • PPP_3.XL_
    • PPP_4.XL_
    • PPP_5.XL_
    • PPP_6.XL_
    • PROJEC~1.XL_
    • PROJEC~2.XL_
    • README.IC_
    • ReadMe.txt
    • README.TX_
    • RISK_M~1.XL_
    • SELFREG.DL_
    • setup.exe
    • setup.ini
    • setup.IN_
    • setup.LST
    • setup.ST_
    • setup.tdf
    • SFL_APP.IC_
    • SIMPLE~1.XL_
    • stdole2.tl_
    • VALUAT~1.XL_
  • 14.74 MB
  • 2009-11-7

  • SPSS Statistics 17.0–New feature.rar

    本附件包括：
    • SPSS Statistics 17.0–New feature.pdf
  • 391.97 KB
  • 2009-9-16

  • 数据挖掘完整课件（共有ppt919页）.rar

    本附件包括：
    • keshihuadm.ppt
    • web使用挖掘介绍及趋势.ppt
    • 在大型数据库中挖掘关联规则.ppt
    • 异常检测算法综述.ppt
    • 序列模式挖掘综述.ppt
    • 序列模式挖掘算法.ppt
    • 网页搜索效果评价.ppt
    • 统计学习理论与SVM.ppt
    • 数据挖掘入门.ppt
    • 数据挖掘概念、技术－－聚类.ppt
    • 数据挖掘概念、技术－－关联3.ppt
    • 数据挖掘概念、技术－－关联2.ppt
    • 数据挖掘概念、技术－－关联1.ppt
    • etuijian.ppt
    • fanshixi.ppt
    • Feature Selection for Ranking.ppt
    • FirteX-High Performance Full Featured Text Search Engine Library.ppt
    • Google-NanChang-Talk.ppt
    • guanlian.ppt
    • guinasuanfa.ppt
    • High-Dimensional OLAP.ppt
    • Intro Opening-runliu.ppt
  • 20.67 MB
  • 2009-6-28

  • notes feactures.rar

    本附件包括：
    • ecif310_note_features_2.pdf
    • ecif310_note_features.pdf
  • 268.76 KB
  • 2009-6-15

  • 332998.zip
       [下载]

    本附件包括：
    • American Girl and the Brand Gestalt.pdf
    • Are Product Returns a Necessary.pdf
    • Brand Experience.pdf
    • Brand Portfolio Strategy and Firm Performance.pdf
    • Competing Loyalty Programs.pdf
    • Continuous Supplier Performance Improvement.pdf
    • Cross-Category Effects of Aisle and Display Placements.pdf
    • Demarketing, Minorities, and national attachment.pdf
    • Distribution Network Redesign for Marketing Competitiveness.pdf
    • Does Customer Demotion Jeopardize Loyalty.pdf
    • Inertial Disruption.pdf
    • Internet Auction Features as Quality Signals.pdf
  • 3.32 MB
  • 2009-6-3

  • 330422.rar
       数据挖掘课件

    本附件包括：
    • keshihuadm.ppt
    • web使用挖掘介绍及趋势.ppt
    • 在大型数据库中挖掘关联规则.ppt
    • 异常检测算法综述.ppt
    • 序列模式挖掘综述.ppt
    • 序列模式挖掘算法.ppt
    • 网页搜索效果评价.ppt
    • 统计学习理论与SVM.ppt
    • 数据挖掘入门.ppt
    • 数据挖掘概念、技术－－聚类.ppt
    • 数据挖掘概念、技术－－关联3.ppt
    • 数据挖掘概念、技术－－关联2.ppt
    • 数据挖掘概念、技术－－关联1.ppt
    • etuijian.ppt
    • fanshixi.ppt
    • Feature Selection for Ranking.ppt
    • FirteX-High Performance Full Featured Text Search Engine Library.ppt
    • Google-NanChang-Talk.ppt
    • guanlian.ppt
    • guinasuanfa.ppt
    • High-Dimensional OLAP.ppt
    • Intro Opening-runliu.ppt
  • 20.67 MB
  • 2009-5-27

  • 330408.rar
       数据挖掘PPT全套

    本附件包括：
    • 10.8.ppt
    • 10.IR-related e-Business .ppt
    • 11.Crawling Web document (part-1) .ppt
    • 12.large scale crawler .ppt
    • 13.eCommerce and IR (part-2) .ppt
    • 14.Text extraction.ppt
    • 16.PPT about the talk .ppt
    • 17.Indexing Technology for Search Engine .ppt
    • 18.An Introduction to Text Categorization .ppt
    • 20.Consideraions in Feature Selection.ppt
    • 23.HTML DocView .ppt
    • 24.Reading report by Wang Ning.ppt
    • 26.How to cralw the web .ppt
    • 27.course project, exam, etc..ppt
    • 1.about the course .ppt
    • 2.tianwangstory.ppt
    • 3.SEWM2003show.ppt
    • 4.a few words about web and its development.ppt
    • 5.Basic IR problems .ppt
    • 6.basic IR techniques .ppt
    • 7.preliminaries about HTML and HTTP .ppt
  • 11.98 MB
  • 2009-5-27

  • 259694.pdf
       [分享]Pricing excess of loss treaty with loss sensitive features: an exposure rating appr

  • 130.39 KB
  • 2008-10-24

  • 220590.rar
       SASIML 19 pdfs for FREE

    本附件包括：
    • CH11.Nonlinear.Optimization.Examples.pdf
    • CH12.Graphics.Examples.pdf
    • CH13.Window&Display.Features.pdf
    • CH14.Storage.Features.pdf
    • CH15.Using.SAS.IML.Software.To.Generate.IML.Statement.pdf
    • CH16.Further.Notes.pdf
    • CH17.Language.Reference.pdf
    • CH18.Module.Library.pdf
    • IML.Index.pdf
    • CH01.Introduction.To.SAS.IML.Software.pdf
    • CH02.Understanding.The.Language.pdf
    • CH03.Tutorial.A.Module.For.Linear.Regression.pdf
    • CH04.Working.With.Matrices.pdf
    • CH05.Programming.Statements.pdf
    • CH06.Working.With.SAS.Data.Sets.pdf
    • CH07.File.Access.pdf
    • CH08.General.Statistics.Examples.pdf
    • CH09.Robust.Regression.Examples.pdf
    • CH10.Time.Series.Analysis&Control.Examples.pdf
  • 2.53 MB
  • 2008-6-17

  • 220377.rar
       SAS Proc SQL notes (5 pdfs) for FREE

    本附件包括：
    • SQL02.Basic.Queries.pdf
    • SQL03.Combining.Tables.pdf
    • SQL04.Creating&Modifying.Tables&Views.pdf
    • SQL05.Additional.SQL.Features.pdf
    • SQL01.introduction.pdf
  • 3.18 MB
  • 2008-6-16

  • 193032.rar
       [原创]2008年即将发表的风险管理(Risk Management)英文原版文献（首期25篇，有人响应再后续150篇

    本附件包括：
    • A dynamic stochastic programming model for international portfolio management.pdf
    • Small transaction cost asymptotics and dynamic hedging.pdf
    • Feature Cluster Operational Research for Risk Management.pdf
    • An inverse problem of determining the implied volatility in option pricing.pdf
    • Asset and liability modelling for participating policies with guarantees.pdf
    • Informing risk-mitigation priorities using uncertainty measures derived from heterogeneous expert panels A demonstration using foodborne pathogens.pdf
    • The risk of second-tier supplier failures in serial supply chains Implications for order policies and distributor autonomy.pdf
    • How should the cost of joint risk capital be allocated for performance measurement.pdf
    • A minimal repair replacement model with two types of failure and a safety constraint.pdf
    • Corporate international diversification and the cost of equity European evidence.pdf
    • Project risk management practice The case of a South African utility company.pdf
    • Risk perception and Bayesian analysis of international construction contract risks The case of payment delays in a developing economy.pdf
    • Evaluation of insurance products with guarantee in incomplete markets.pdf
    • On the distribution tail of an integrated risk model A numerical approach.pdf
    • The quality of food risk management in Europe Perspectives and priorities.pdf
    • Dynamics of supply chain networks with corporate social responsibility through integrated environmental decision-making.pdf
    • Endocrine disrupting pesticides Implications for risk assessment.pdf
    • Day-ahead price forecasting in restructured power systems using artificial neural networks.pdf
    • An intelligent data collection tool for chemical safety risk assessment.pdf
    • Application of the Beck model to stock markets Value-at-Risk and portfolio risk assessment.pdf
    • A statistical study on temporary work and occupational accidents Specific risk factors and risk management strategies.pdf
    • A reliability model for assessing the risk of termite attack on housing in Australia.pdf
    • Active portfolio management with benchmarking Adding a value-at-risk constraint.pdf
    • A web-based integrated system for international project risk management.pdf
  • 10.26 MB
  • 2008-2-17

  • 191375.pdf
       [下载]Introduction to the features of SAS (USLA)

  • 1.68 MB
  • 2008-1-30

  • 115798.rar
       Journal of Macroeconomics 2007 vol 29 (1)

    本附件包括：
    • Market clearing with some neo-Keynesian features.pdf
    • Does wealth affect consumption Evidence for Italy.pdf
    • The relative price effects of monetary shocks.pdf
    • The New Keynesian Phillips curve under trend inflation and strategic complementarity.pdf
    • The long-term care problem, precautionary saving, and economic growth.pdf
    • Buying out child labor.pdf
    • Too good to be true The (In)credibility of the UK inflation fan charts..pdf
    • The theory of rational expectations and the interpretation of macroeconomic data.pdf
    • Do shocks last forever Local persistency in economic time series.pdf
    • Sunspots in a cash-in-advance model A quantitative assessment.pdf
    • Economic growth and convergence with international differences in technology.pdf
    • Indeterminacy and stability in a modified Romer model.pdf
    • Forbearance impedes confidence recovery.pdf
  • 2.49 MB
  • 2007-5-11

  • 113296.rar
       Journal of economitrics计量论文

    本附件包括：
    • Common cyclical features analysis in VAR models with cointegration.doc.ff1
    • 经济学与管理学门类“最有学术影响力的国际期刊”目录.doc
    • Estimating dynamic panel data discrete choice models with fixed effects.doc
    • Masking identification of discrete choice models under simulation methods.doc
    • Residual autocorrelation testing for vector error correction models.doc.ff1
  • 1.26 MB
  • 2007-5-4

  • 113060.rar
       Jounal of economitrics计量论文

    本附件包括：
    • Common cyclical features analysis in VAR models with cointegration.doc.ff1
  • 492.58 KB
  • 2007-5-3

  • 97735.rar
       [下载] SAS入门级的好书

    本附件包括：
    • Introduction to the features of SAS.pdf
  • 1.14 MB
  • 2007-3-11
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