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Contents Preface v Typographical Conventions xi 1 Introduction 1 1.1 A Quick Overview of S ....................... 3 1.2 Using S ............................... 5 1.3 An Introductory Session . . . . . ................. 6 1.4 WhatNext? ............................. 12 2 DataManipulation 13 2.1 Objects ............................... 13 2.2 Connections............................. 20 2.3 DataManipulation ......................... 27 2.4 TablesandCross-Classification................... 37 3The S Language 41 3.1 Language Layout . . ........................ 41 3.2 More on S Objects ......................... 44 3.3 ArithmeticalExpressions...................... 47 3.4 CharacterVectorOperations .................... 51 3.5 Formatting and Printing . . . . . . ................. 54 3.6 Calling Conventions for Functions ................. 55 3.7 ModelFormulae........................... 56 3.8 ControlStructures.......................... 58 3.9 ArrayandMatrixOperations.................... 60 3.10 Introduction to Classes and Methods . . . ............. 66 4 Graphics 69 4.1 GraphicsDevices .......................... 71 4.2 Basic Plotting Functions . . . . . ................. 72 viiviii Contents 4.3 EnhancingPlots........................... 77 4.4 FineControlofGraphics ...................... 82 4.5 Trellis Graphics . . . ........................ 89 5 Univariate Statistics 107 5.1 Probability Distributions . . . . . .................107 5.2 Generating Random Data . . . . . .................110 5.3 DataSummaries...........................111 5.4 ClassicalUnivariateStatistics....................115 5.5 RobustSummaries .........................119 5.6 DensityEstimation .........................126 5.7 Bootstrap and Permutation Methods . . . .............133 6 Linear StatisticalModels 139 6.1 AnAnalysisofCovarianceExample................139 6.2 ModelFormulaeandModelMatrices ...............144 6.3 Regression Diagnostics . . . . . . .................151 6.4 SafePrediction ....................

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概率论，数据和随机过程的在电气工程中的运用

SPSS是全球领先的统计分析与数据挖掘产品，全名：Statistical Product and Service Solutions，成立于 1968年，是世界上应用最广泛的专业统计和数据模型软件之一。2009年 IBM 全资收购了 SPSS 公司，正式更名为“IBM SPSS”。SPSS Statistics 是一款统计分析软件，提供了执行全程分析所需的核心功能。它易于使用，包含范围广泛的过程和技术，能帮助您增加收入，超越竞争对手，组织调研并制定更好的决策。

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Categorical Data Analysis, Third Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial loglinear models for discrete data with normal regression for continuous data. ALAN AGRESTI is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida. He has presented short courses on categorical data methods in thirty countries.

Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition gives careful proofs of major results and explains how the theory sheds light on the properties of practical methods. The book first discusses non- and semiparametric models before covering parameters and parametric models. It then offers a detailed treatment of maximum likelihood estimates (MLEs) and examines the theory of testing and confidence regions, including optimality theory for estimation and elementary robustness considerations. It next presents basic asymptotic approximations with one-dimensional parameter models as examples. The book also describes inference in multivariate (multiparameter) models, exploring asymptotic normality and optimality of MLEs, Wald and Rao statistics, generalized linear models, and more.

Modelling Survival Data in Medical Research