在国外的论坛看到有人发表的史上最全统计学教材，免费转来分享给大家! 包含内容： 1. AdvancedCalculus with Applications in Statistics 2.A History of Probability and Statistics and Their Applications before 1750 3.Markov Decision Processes: Discrete Stochastic Dynamic Programming 4.Probability and Statistical Inference 5.Continuous Univariate Distributions, Vol. 1 6.Continuous Univariate Distributions, Vol. 2 7.The Theory of Measures and Integration 8.Robust Statistics: Theory and Methods 9.Finite Mixture Models 10.Generalized, Linear, and Mixed Models 11.Statistics of Extremes: Theory and Applications 12.Modes of Parametric Statistical Inference 13.Univariate Discrete Distributions 14.Contemporary Bayesian Econometrics and Statistics 15.Approximation Theorems of Mathematical Statistics 16.Image Processing and Jump Regression Analysis 17.Operational Risk : Modeling Analytics 18.Design and Analysis of Experiments, Introduction to Experimental Design 19.Introductory Biostatistics for the Health Sciences: Modern ApplicationsIncluding Bootstrap 20.Linear Models in Statistics 21.Statistics for Research 22.Applied Logistic Regression 23.Operational Subjective Statistical Methods: A Mathematical, Philosophical,and Historical Introduction 24.Probability and Measure, 2nd Edition 25.Theory of Preliminary Test and Stein-Type Estimation with Applications 26.The EM Algorithm and Extensions 27.The Theory of Response-Adaptive Randomization in Clinical Trials 28.Models for Probability and Statistical Inference: Theory and Applications 29.Applied Life Data Analysis 30.Structural Equation Modelling: A Bayesian Approach 31.Bootstrap Methods: A Guide for Practitioners and Researchers 32.Nonparametric Analysis of Univariate Heavy-Tailed Data: Research andPractice 33.Applied Linear Regression, 3rd edition 34.Theory of Probability: A Critical Introductory Treatment 35.Financial Derivatives in Theory and Practice 36.Quantitative Methods in Population Health: Extensions of Ordinary Regression 37.Statistical Methods for Survival Data Analysis 38.Applied Bayesian Modelling 39.Spatial Statistics, 2004-08 40.Approximate Dynamic Programming: Solving the Curses of Dimensionality 41.Variance Components 42.Time Series: Applications to Finance 43.Generalized Least Squares 44.Statistical Analysis With Missing Data 45.Long-Memory Time Series: Theory and Methods 46.Statistical Models and Methods for Lifetime Data 47.Uncertainty Analysis with High Dimensional Dependence Modelling 48.Simulation and the Monte Carlo Method 49.A Matrix Handbook for Statisticians 50.Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence 51.Precedence-Type Tests and Applications 52.Statistical Meta-Analysis with Applications 53.Management of Data in Clinical Trials 54.Periodically Correlated Random Sequences: Spectral Theory and Practice 55.Design and Analysis of Experiments, Advanced Experimental Design 56.Methods and Applications of Linear Models : Regression and the Analysis ofVariance 57.Combinatorial Methods in Discrete Distributions 58.Nonparametric Regression Methods for Longitudinal Data Analysis:Mixed-Effects Modeling Approaches 59.Response Surfaces, Mixtures, and Ridge Analyses 60.Variations on Split Plot and Split Block Experiment Designs 61.Recent Advances in Quantitative Methods in Cancerand Human Health Risk Assessment 62.The Construction of Optimal Stated Choice Experiments: Theory and Methods 63.Nonparametric Density Estimation: The L1 View 64.Applied MANOVA and Discriminant Analysis 65.Survey Errors and Survey Costs 66.Statistical Advances in the Biomedical Sciences: Clinical Trials,Epidemiology, Survival Analysis, and Bioinformatics 67.Latent Curve Models: A Structural Equation Perspective 68.Regression Diagnostics: Identifying Influential Data and Sources ofCollinearity 69.Reliability and Risk: A Bayesian Perspective 70.Environmental Statistics 71.Bayes Linear Statistics, Theory Methods 72.Introductory Stochastic Analysis for Finance and Insurance 73.Bayesian Models for Categorical Data 74.Bayesian Statistical Modelling 75.Weibull Models 76.Analysis of Financial Time Series 77.Linear Model Theory: Univariate, Multivariate, and Mixed Models 78.An Introduction to Categorical Data Analysis 79.Bayesian Statistics and Marketing 80.Statistical Shape Analysis 81.Nonparametric Statistics with Applications to Science and Engineering 82.Longitudinal Data Analysis 83.Regression Models for Time Series Analysis 84.Introduction to Nonparametric Regression 85.Statistical Modeling by Wavelets 86.Case Studies in Reliability and Maintenance 87.The Geometry of Random Fields 88.Biostatistics : A Methodology For the Health Sciences 89.Planning, Construction, and Statistical Analysis of Comparative Experiments 90.Statistical Size Distributions in Economics and Actuarial Sciences 91.Modern Experimental Design 92.Comparative Statistical Inference 93.Methods of Multivariate Analysis 94.Robust Statistics 95.Order Statistics 96.Fourier Analysis of Time Series : An Introduction 97.Spatial Statistics 1981-04 98.Clinical Trials : A Methodologic Perspective 99.Numerical Issues in Statistical Computing for the Social Scientist 100.Nonlinear Regression 101.Preparing for the Worst : Incorporating Downside Risk in Stock MarketInvestments 102.Nonlinear Regression Analysis and Its Applications 103.Mixed Models : Theory and Applications 104.Discrete Distributions : Applications in the Health Sciences 105.Design and Analysis of Clinical Trials : Concepts and Methodologies 106.Applied Bayesian Modeling and Causal Inference from Incomplete-DataPerspectives 107.Flowgraph Models for Multistate Time-?–to-Event Data 108.Randomization in Clinical Trials: Theory and Practice 109.Regression With Social Data: Modeling Continuous and Limited ResponseVariables 110.Regression Analysis by Example 111.Categorical Data Analysis 112.Statistical Methods for Reliability Data 113.Elements of Stochastic Processes Wit 114.Random Graphs for Statistical Pattern Recognition 115.Construction and Assessment of Classification Rules 116.The Statistical Analysis of Failure Time Data 117.Statistical Analysis of Finite Mixture Distributions 118.Modern Applied U-Statistics 119.Applied Multiway Data Analysis (编辑：nancy)
