下载  >  行业  >  教育  > Mathematical Statistics and Data Analysis,3ed

Mathematical Statistics and Data Analysis,3ed 评分:

本书为英文版,和国内的数理统计有明显的不同。书的理念思想很好,讲了很多新东西,且将Bootstrap方法和传统统计在一起讲解了。Amazon上有书评
THOMS。N BROOKS/COLE Mathematical statistics and Data Analysis, Third Edition John a. rice Acquisitions Editor: Carolyn Crockett Permissions editor: Bob Kauser Assistant Editor: Ann Day Production Service: Interactive Composition Editorial Assistant: Elizabeth gershman Corporation Technology Project Manager: Fiona Chong Text Designer: Roy Neuhaus Marketing manager: Joe rogove Copy Editor: Victoria Thurman Marketing assistant Brian smith Illustrator: Interactive Composition Corporation Marketing Communications Manager: Darlene Amidon-Brent Cover Designer: Denise Davidson Project Manager, Editorial Production: Kelsey McGee Cover Printer: Coral Graphic services Creative Director: Rob Hugel Compositor: Interactive Composition Art director: Lee friedman Printer: R.R. Donnelley/Crawfordsville Print Buyer: Karen Hunt o2007 Duxbury, an imprint of Thomson Brooks/Cole, a part Thomson higher education of The Thomson Corporation. Thomson, the Star logo, and 10 Davis drive Brooks/cole are trademarks used herein under license Belmont, CA 94002-3098 ALL RIGHTS RESERVED. No part of this work covered by USA the copyright hereon may be reproduced or used in any form o y any means-graphic, electronic, or mechanical, including Library of Congress Control Number 2005938314 photocopying, recording, taping, Web distribution, information storage and retrieval systems, or in any other manner-without Student Edition: ISBN 0-534-39942-8 the written permission of the publisher Printed in the united states of america 12345671009080706 For more information about our products, contact us at Thomson Learning Academic Resource Center 1800-423-0563 For permission to use material from this text or product, submit a request online at http://www.thomsonrights.com. Any additional questions about permissions can be submitted bye-mailtothomsonrights@thomson.com We must be careful not to confuse data with the abstractions we use to analyze them WILLIAM JAMES (1842-1910) Contents P reface xi 1 Probability 1.1 Introductie 1. 2 Sample spaces 2 1.3 Probability M es 4 1.4 Computing Probabilities: Counting Methods 6 1.4.1 The mult p iple 7 1.4.2 Permutations and Combinations 9 1.5 Conditional Probability 16 1.6 Independe 23 1.7 Concluding remarks 26 1. 8 Proble 26 2 RandonⅤ ariables35 2.1 Discrete Random Variables 35 2.1.1 Bernoulli random variables 37 2.1.2 The b lial Distribution 38 2.1.3 The Geometric and negative binomial distributions 40 2.1. 4 The hy tric distribution 42 2.1.5 The poisson distribution 42 2.2 Continuous random variables 47 2.2.1 The Exponential Density 50 2.2.2 The Gamma Density 53 Contents 2.2.3 The Normal Distribution 54 2.2.4 The Beta density 58 2.3 Functions of a Random variable 58 2.4 Concluding remarks 64 2.5 Problems 64 3 Joint distributions 71 3.1 Introduction 71 3.2 Discrete random Variables 72 3.3 Continuous random variables 75 3.4 Independent random variables 84 3.5 Conditional distributions 87 3.5.1 The Discrete case 87 3.5.2 The Continuous case 88 3.6 Functions of Jointly Distributed Random Variables 96 3.6.1 Sums and Quotients 96 3.6.2 The General Case 99 3.7 Extrema and Order statistics 104 3.8 Problems 107 4 Expected Values 116 4.1 The Expected Value of a Random variable 116 4.1.1 Expectations of Functions of Random Variables 121 4.1.2 Expectations of Linear Combinations of Random variables 124 4.2 Variance and Standard Deviation 130 4.2.1 A Model for Measurement error 135 4.3 Covariance and correlation 138 4.4 Conditional Expectation and Prediction 147 4.4.1 Definitions and Examples 147 4.4.2 Prediction 152 4.5 The Moment-Generating Function 155 4.6 Approximate Methods 161 4.7 Problems 166 ontents 5 Limit Theorems 177 5.1 Introduction 177 5.2 The Law of Large Numbers 177 5.3 Convergence in Distribution and the Central limit Theorem 181 5.4 Problems 188 6 Distributions derived from the normal Distribution 192 6.1 Introduction 192 6.2 X, t, and F Distributions 192 6.3 The Sample Mean and the Sample variance 195 6.4 Problems 198 7 Survey Sampling 199 7.1 Introduction 199 7.2 Population Parameters 200 7. 3 Simple random Sampling 202 7.3.1 The Expectation and variance of the Sample Mean 203 7.3.2 Estimation of the Population Variance 210 7.3.3 The Normal Approximation to the Sampling Distribution of X 214 7.4 Estimation of a ratio 220 7.5 Stratified Random Sampling 227 7.5. 1 Introduction and Notation 227 7.5.2 Properties of Stratified Estimates 228 7.5.3 Methods of allocation 232 7.6 Concluding Remarks 238 7.7 Problems 239 8 Estimation of Parameters and Fitting of probability distributions 255 8.1 Introduction 25.5 8.2 Fitting the Poisson Distribution to Emissions of Alpha Particles 255 8.3 Parameter Estimation 257 8. 4 The method of moments 260 8.5 The Method of maximum Likelihood 267 Conter 8.5. 1 Maximum likelihood estimates of multinomial cell probabilities 272 8.5.2 Large Sample Theory for Maximum Likelihood Estimates 274 8.5.3 Confidence Intervals from maximum Likelihood estimates 279 8.6 The Bayesian Approach to Parameter Estimation 285 8.6.1 Further remarks on priors 294 8.6.2 Large Sample Normal Approximation to the Posterior 296 8.6.3 Computational Aspects 297 8.7 Efficiency and the cramer-Rao lower bound 298 8.7.1 An Example: The Negative Binomial distribution 302 8.8 Sufficiency 305 8. 8. 1 A Factorization Theorem 306 8.8.2 The Rao-Blackwell Theorem 310 8.9 Concluding Remarks 311 8.10 Problems 312 9 Testing Hypotheses and Assessing Goodness of Fit 329 9.1 Introduction 329 9.2 The Neyman-Pearson Paradigm 33 1 9. 2.1 Specification of the Significance Level and the Concept of a p-value 334 9.2.2 The Null Hypothesis 335 9.2.3 Uniformly Most Powerful Tests 336 9.3 The Duality of Confidence Intervals and Hypothesis Tests 337 9.4 Generalized Likelihood Ratio Tests 339 9.5 Likelihood ratio Tests for the multinomial distribution 341 9.6 The Poisson Dispersion Test 347 9.7 Hanging Rootograms 349 9.8 Probability plots 352 9.9 Tests for normality 358 9.10 Concluding Remarks 361 9.11 Problems 362 10 Summarizing Data 377 10.1 Introduction 377 10.2 Methods based on the cumulative Distribution Function 378 Vill Contents 10.2.1 The Empirical Cumulative Distribution Function 378 10.2.2 The Survival function 380 10.2.3 Quantile-Quantile Plots 385 10.3 Histograms, Density Curves, and Stem-and-Leaf Plots 389 10.4 Measures of Location 392 10.4.1 The arithmetic Mean 393 10.4.2 The median 395 10.4.3 The Trimmed Mean 397 10.4.4 M Estimates 397 10.4.5 Comparison of Location Estimates 398 10.4.6 Estimating Variability of Location Estimates by the Bootstrap 399 10.5 Measures of Dispersion 401 10.6 Boxplots 402 10.7 Exploring relationships with Scatterplots 404 10.8 Concluding remarks 407 10.9 Problems 408 11 Comparing Two Samples 420 11. 1 Introduction 420 11.2 Comparing Two Independent Samples 421 11.2. 1 Methods based on the normal distribution 421 11.2.2 Power433 11.2.3 A Nonparametric Method-The Mann-Whitney Test 435 11.2.4 Bayesian Approach 443 11.3 Comparing Paired Samples 444 11.3.1 Methods based on the normal distribution 446 11.3.2 A Nonparametric Method-The Signed Rank Test 448 11.3.3 An Example--Measuring Mercury Levels in Fish 450 11. 4 Experimental Design 452 11. 4.1 Mammary Artery Ligation 452 11. 4.2 The Placebo effect 453 11.4.3 The Lanarkshire Milk Experiment 453 11. 4. 4 The portacaval Shunt 454 11.4.5FD& C Red no.40455 11. 4.6 Further Remarks on Randomization 456 Contents Ix 11. 4.7 Observational Studies. Confounding and bias in graduate Admissions 457 11.4.8 Fishing Expeditions 458 11.5 Concluding remarks 459 11.6 Problems 459 12 The Analysis of variance 477 12. 1 Introduction 477 12.2 The One-Way layout 477 12.2.1 Normal Theory; the F Test 478 12.2.2 The Problem of Multiple comparisons 485 12.2.3 A Nonparametric Method-The Kruskal-Wallis Test 488 12.3 The Two-Way layout 489 12.3. 1 Additive parametrization 489 12.3.2 Normal Theory for the Two-Way Layout 492 12.3.3 Randomized Block Designs 500 12.3. 4 A Nonparametric Method--Friedman's Test 503 12.4 Concluding remarks 504 12.5 Problems 505 13 The analysis of Categorical Data 514 13.1 Introduction 514 13.2 Fishers Exact Test 514 13.3 The Chi-Square Test of Homogeneity 516 13. 4 The Chi-Square Test of Independence 520 13.5 Matched-Pairs designs 523 13.6 Odds Ratios 526 13.7 Concluding remarks 530 13.8 Problems 530 14 Linear Least Squares 542 14. 1 Introduction 542 14.2 Simple Linear Regression 547 14.2.1 Statistical Properties of the Estimated Slope and Intercept 547

...展开详情
2014-12-19 上传 大小:4.53MB
举报 收藏
分享
Mathematical Statistics and Data Analysis 3rd

Mathematical Statistics and Data Analysis 3rd Mathematical Statistics and Data Analysis 3rd

立即下载
Mathematical Statistics and Data Analysis, 3rd Edition

专业统计模型与数据分析教材, 最新版本。内容丰富

立即下载
[数理统计与数据分析].(Mathematical.Statistics.and.Data.Analysis,.3ed),.Rice,.文字版.pdf

[数理统计与数据分析].(Mathematical.Statistics.and.Data.Analysis,.3ed),.Rice,.文字版.pdf

立即下载
Mathematical Statistics and Data Analysis

University of California,Berkely的教材 英文版

立即下载
Mathematical Statistics

DynamicsOfCellFateDecisionMedi

立即下载
Mathematical Statistics and Data Analysis, 3r

Mathematical Statistics and Data Analysis, 3r

立即下载
Mathematical Statistics (Jun Shao)

基于测度论的概率统计教材,数学专业。作者Jun Shao。

立即下载
[John_A._Rice]_Mathematical_Statistics_and_Data_Analysis

概率统计国外经典教材,Mathematical_Statistics_and_Data_Analysis,作为人工智能等热门技术基础的统计知识,这本书写得极好,有需要的可以下来学习学习

立即下载
数理统计与数据分析。Mathematical.Statistics.and.Data.Analysis%John.A.Rice.pdf

《数理统计与数据分析》 国外一本非常有名的统计教材,难度不高,完整清晰带书签。

立即下载
mathematic statistics and data analysis

mathematic statistics and data analysis 是一本比较好的书

立即下载
Bikel: Mathematical Statistics

Bickel - Mathematical Statistics, Basic Ideas and Selected Topics电子书

立即下载
html+css+js制作的一个动态的新年贺卡

该代码是http://blog.csdn.net/qq_29656961/article/details/78155792博客里面的代码,代码里面有要用到的图片资源和音乐资源。

立即下载
qBittorrent插件集合(22个)

btetree.py cpasbien.py divxtotal.py ilcorsaronero.py kickass.py leetx.py limetorrents.py linuxtracker.py nyaa.py nyaapantsu.py nyaasi.py pantsu.py psychocydd.py rarbg.py rutor.py skytorrents.py sukebei.py sumotorrent.py tntvillage.py torrent9.py torrentfunk.py zooqle.py

立即下载
万能BIOS刷新工具Universal Flash Utility V8.95

近期在网搜刷新工具时,寻得这组万能刷新工具类型的希缺资源[正宗正版工具软件],特上传bios之家论坛,对号最需要它的爱好者群!软件版权归属原作品发布方,提供与本网站各界爱好者试用,以便交流刷新比较困难的 bios 实际使用经验![[ 其中的895工具是在本论坛首次亮像,=本论坛335469299用户曾在2011年6月29日发表过848的使用资料=各位可划文搜链接[ ==http://bbs.bios.net.cn/?8024== ]看 用户 awb 空间 所存载主题=求万能bios刷写工具flash849.exe-=之=-335469299 -=所回帖发布软件介绍使用参数 参考试用万能 bio

立即下载
基于eclipse+MySQL的图书馆管理系统

基于eclipse+MySQL的图书馆管理系统,可以实现读者的注册、借书和还书,管理员的管理等等操作,是一个功能全面的图书馆管理系统

立即下载
压缩包爆破解密工具(7z、rar、zip)

压缩包内包含三个工具,分别可以用来爆破解密7z压缩包、rar压缩包和zip压缩包。

立即下载
服务器CPU天梯图_最全CPU天梯图

主要是服务器CPU天梯图_最全CPU天梯图,文字版,不是图片

立即下载
公司年会滚动抽奖系统

基于HTML5和JS的公司年会抽奖系统。 该抽奖功能描述: 1).随机所有号码并且不重复出现。 2).中过奖的人,不能再进行抽奖。(不会中了2等奖在去中1等奖) 3).可以自定义抽奖的号码(姓名或数字),需要手动添加至HTML5代码中。

立即下载