使用redmine缺陷管理工具的测试人员注意了，本代码是实现统计redmine的数据（本阶段、本版本、严重等级、指派人员、结构分布情况），并实现自动化发送阶段性测试报告邮件脚本，也有现成的exe程序，大家可是试试（exe是使用内网地址，大家可能会运行失败，这也是保证公司机密不被泄露），如果大家有问题，可以随时私聊我

this book aims at showing the intersection of statistical, logical and relational learning.

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