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　　上海交通大学留学预科 （http://www.jiaodayuke.com）讯：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 Philosophicaland 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 TrialsEpidemiology 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