概率论与数理统计（影印版.第5版）|海外优秀数学教材系列丛书|（美）德沃尔（Jay L.Devore）|高等教育出版社

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概率论与数理统计（影印版.第5版）

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原书名：Probability and Statistics for Engineering and the Sciences	原出版社：Brooks/Cole Publishing Company
作者：（美）德沃尔（Jay L.Devore）	出版社：高等教育出版社
译者：	丛书名：海外优秀数学教材系列丛书
出版日期：2004-11-1	上架日期：2005-10-8
ISBN：7040155605	页数：版次：5-1
开本：16开	装帧：附带光盘

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内容简介
本教材具有以下特点：(1)基本上是近3年出版的，在国际上被广泛使用，在同类教材中具有相当的权威性；(2)高版次，历经多年教学实践检验，内容翔实准确、反映时代要求；(3)各种教学资源配套整齐，为师生提供了极大的便利；(4)插图精美、丰富，图文并茂，与正文相辅相成；(5)语言简练、流畅、可读性强，比较适合非英语国家的学生阅读。

目录
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1  Overview and Descriptive Statistics   1
Introduction    1
1.1 Populations, Samples, and Processes   3
1.2 Pictorial and Tabular Methods in Descriptive Statistics   11
1.3 Measures of Location    28
1.4 Measures of Variability   36
Supplementary Exercises   48
Bibliography   51
2  Probability   52
Introduction   52
2.1 Sample Spaces and Events    53
2.2 Axioms, Interpretations, and Properties of Probability   58
2.3 Counting Techniques   67
2.4 Conditional Probability   75
2.5 Independence   86
Supplementary Exercises   92
Bibliography   95
3  Discrete Random Variables
and Probability Distributions   96
Introduction    96
3.1 Random Variables   96
3.2 Probability Distributions for Discrete Random Variables    100
3.3 Expected Values of Discrete Random Variables   110
3.4 The Binomial Probability Distribution    119
3.5 Hypergeometric and Negative Binomial Distributions    127
3.6 The Poisson Probability Distribution    134
Supplementary Exercises   139
Bibliography   142
4  Continuous Random Variables and Probability Distributions   143
Introduction    143
4.1 Continuous Random Variables and Probability Density Functions    143
4.2 Cumulative Distribution Functions and Expected Values    149
4.3 The Normal Distribution    158
4.4 The Gamma Distribution and Its Relatives    171
4.5 Other Continuous Distributions    178
4.6 Probability Plots    185
Supplementary Exercises    196
Bibliography   200
5  Joint Probability Distributions and Random Samples   201
Introduction   201
5.1 Jointly Distributed Random Variables   202
5.2 Expected Values, Covariance, and Correlation    215
5.3 Statistics and Their Distributions   221
5.4 The Distribution of the Sample Mean   233
5.5 The Distribution of a Linear Combination   239
Supplementary Exercises   245
Bibliography   248
6  Point Estimation   249
Introduction   249
6.1 Some General Concepts of Point Estimation    250
6.2 Methods of Point Estimation   265
Supplementary Exercises   274
Bibliography   275
7  Statistical Intervals Based on a Single Sample   277
Introduction    277
7.1 Basic Properties of Confidence Intervals   278
7.2 Large-Sample Confidence Intervals for a Population Mean and
Proportion    287
7.3 Intervals Based on a Normal Population Distribution    295
7.4 Confidence Intervals for the Variance and Standard Deviation of a Normal Population    304
Supplementary Exercises   307
Bibliography   309
8  Tests of Hypotheses Based on a Single Sample   310
Introduction    310
8.1 Hypotheses and Test Procedures   311
8.2 Tests About a Population Mean   321
8.3 Tests Concerning a Population Proportion    334
8.4 P-Values   339
8.5 Some Comments on Selecting a Test Procedure   347
Supplementary Exercises   350
Bibliography   353
9  Inferences Based on Two Samples   354
Introduction    354
9.1 z Tests and Confidence Intervals for a Difference Between Two Population Means   355
9.2 The Two-Sample t Test and Confidence Interval    366
9.3 Analysis of Paired Data    374
9.4 Inferences Concerning a Difference Between Population Proportions  384
9.5 Inferences Concerning Two Population Variances   392
Supplementary Exercises   396
Bibliography   401
10  The Analysis of Variance   402
Introduction   402
10.1 Single-Factor ANOVA   403
10.2 Multiple Comparisons in ANOVA   414
10.3 More on Single-Factor ANOVA   420
Supplementary Exercises   430
Bibliography   432
11  Multifactor Analysis of Variance   433
Introduction   433
11.1 Two-Factor ANOVA with Kij = 1    434
11.2 Two-Factor ANOVA with Kij > 1    448
11.3 Three-Factor ANOVA   457
11.4 2p Factorial Experiments   468
Supplementary Exercises   483
Bibliography   486
12  Simple Linear Regression and Correlation   488
Introduction   488
12.1 The Simple Linear Regression Model   489
12.2 Estimating Model Parameters   497
12.3 Inferences About the Slope Parameter B1    512
12.4 Inferences Concerning uY.x and the Prediction of Future Y Values   520
12.5 Correlation    528
Supplementary Exercises    538
Bibliography    542
13  Nonlinear and Multiple Regression   543
Introduction    543
13.1 Aptness of the Model and Model Checking   544
13.2 Regression with Transformed Variables   552
13.3 Polynomial Regression    562
13.4 Multiple Regression Analysis   573
13.5 Other Issues in Multiple Regression    597
Supplementary Exercises   610
Bibliography   615
14  The Analysis of Categorical Data   616
Introduction   616
14.1 Goodness-of-Fit Tests When Category Probabilities Are Completely Specified   617
14.2 Goodness of Fit for Composite Hypotheses   625
14.3 Two-Way Contingency Tables   638
Supplementary Exercises   646
Bibliography   648
15  Distribution-Free Procedures   649
Introduction    649
15.1 The Wilcoxon Signed-Rank Test   650
15.2 The Wilcoxon Rank-Sum Test   659
15.3 Distribution-Free Confidence Intervals   666
15.4 Distribution-Free ANOVA   671
Supplementary Exercises   675
Bibliography   677
16  Quality Control Methods   678
Introduction   678
16.1 General Comments on Control Charts   679
16.2 Control Charts for Process Location    681
16.3 Control Charts for Process Variation   690
16.4 Control Charts for Attributes   695
16.5 CUSUM Procedures   700
16.6 Acceptance Sampling   709
Supplementary Exercises   715
Bibliography   716
Appendix Tables   717
A.1 Cumulative Binomial Probabilities   718
A.2 Cumulative Poisson Probabilities   720
A.3 Standard Normal Curve Areas   722
A.4 The Incomplete Gamma Function   724
A.5 Critical Values for t Distributions    725
A.6 Tolerance Critical Values for Normal Population Distributions   726
A.7 Critical Values for Chi-Squared Distributions   727
A.8 t Curve Tail Areas   728
A.9 Critical Values for F Distributions   730
A. 10 Critical Values for Studentized Range Distributions   736
A. 11 Chi-Squared Curve Tail Areas    737
A. 12 Critical Values for the Ryan-Joiner Test of Normality   739
A. 13 Critical Values for the Wilcoxon Signed-Rank Test   740
A. 14 Critical Values for the Wilcoxon Rank-Sum Test   741
A. 15 Critical Values for the Wilcoxon Signed-Rank Interval   742
A. 16 Critical Values for the Wilcoxon Rank-Sum Interval    743
A. 17 Curves for t Tests    744
Answers to Odd-Numbered Exercises   745
Index   765

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