统计学参考教材列表

数学统计出国留学|2014年04月25日 14:10
统计学参考教材列表

  最全统计学参考教材

  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

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