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)