Statistics and Machine Learning Toolbox User’s Guide Statistics and Machine Learning Toolbox Release Notes

Introduction to Probability and Statistics 14th Edition，可编辑版本，很好用的。

第七版 Indroduction_to_Mathematica_Statistics.Hogg,McKean,Craig seventh edition.pdf UIUC的 STAT401统计课程教材 Contents Preface ix 1 Probability and Distributions 1 1.1 Introduction................................ 1 1.2 SetTheory ................................ 3 1.3 TheProbabilitySetFunction ...................... 10 1.4 ConditionalProbabilityandIndependence . . . . . . . . . . . . . . . 21 1.5 RandomVariables ............................ 32 1.6 DiscreteRandomVariables ....................... 40 1.6.1 Transformations ......................... 42 1.7 ContinuousRandomVariables...................... 44 1.7.1 Transformations ......................... 46 1.8 ExpectationofaRandomVariable ................... 52 1.9 SomeSpecialExpectations ....................... 57 1.10ImportantInequalities .......................... 68 2 Multivariate Distributions 73 2.1 DistributionsofTwoRandomVariables ................ 73 2.1.1 Expectation............................ 79 2.2 Transformations: Bivariate Random Variables . . . . . . . . . . . . . 84 2.3 Conditional Distributions and Expectations . . . . . . . . . . . . . . 94 2.4 TheCorrelationCoefficient ....................... 102 2.5 IndependentRandomVariables.....................110 2.6 ExtensiontoSeveralRandomVariables . . . . . . . . . . . . . . . . 117 2.6.1 ∗Multivariate Variance-Covariance Matrix . . . . . . . . . . . 123 2.7 Transformations for Several Random Variables . . . . . . . . . . . . 126 2.8 LinearCombinationsofRandomVariables. . . . . . . . . . . . . . . 134 3 Some Special Distributions 139 3.1 TheBinomialandRelatedDistributions . . . . . . . . . . . . . . . . 139 3.2 ThePoissonDistribution ........................ 150 3.3 TheΓ,χ2,andβDistributions ..................... 156 3.4 TheNormalDistribution......................... 168 3.4.1 ContaminatedNormals ..................... 174 v vi Contents 3.5 TheMultivariateNormalDistribution ................. 178 3.5.1 ∗Applications........................... 185 3.6 t-andF-Distributions

解压密码 share.weimo.info Put statistical theories into practice with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th . Always a market favorite, this calculus-based book offers a comprehensive introduction to probability and statistics while demonstrating how to apply concepts, models, and methodologies in today's engineering and scientific workplaces. Jay Devore, an award-winning professor and internationally recognized author and statistician, stresses lively examples and engineering activities to drive home the numbers without exhaustive mathematical development and derivations. Many examples, practice problems, sample tests, and simulations based on real data and issues help you build a more intuitive connection to the material. A proven and accurate book, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th also includes graphics and screen shots from SAS, MINITAB, and Java™ Applets to give you a solid perspective of statistics in action.,解压密码 share.weimo.info

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 ....................

wordpress平台之所以有这么多用户使用。不仅仅是因为wordpress部署简单，操作方便。更重要的是wordpress有丰富的主题和插件功能，使得wordpress网站在扩展上，灵活性更强。下面将介绍WP Statistics插件的安装及使用过程。

This is an exellent book on wavelet in statistics.

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。

Statistics for Business and Economics这本书第八版的答案，欢迎下载