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数理统计学导论(第5版)(影印版)


作者:
Robert V. Hogg
定价:
68.00元
ISBN:
978-7-04-015557-0
版面字数:
460.000千字
开本:
16开
全书页数:
564页
装帧形式:
平装
重点项目:
暂无
出版时间:
2004-10-26
物料号:
15557-00
读者对象:
高等教育
一级分类:
数学与统计学类
二级分类:
数学与统计学类其他课程

 本系列丛书中,有Finney、Weir等编和《托马斯微积分》(第10版,Pearson),其特色可用“呈传统特色、富革新精神”概括,本书自20世纪50年代第1版以来,平均每四五年就有一个新版面世,长达50余年始终盛行于西方教坛,作者既有相当高的学术水平,又热爱教学,长期工作在教学第一线,其中,年近90的G.B.Thomas教授长年在MIT工作,具有丰富的教学经验;Finney教授也在MIT工作达10年;Weir是美国数学建模竞赛委员会主任。Stewart编的立体化教材《微积分》(第5版,Thomson Learning)配备了丰富的教学资源,是国际是最畅销的微积分原版教材,2003年全球销量约40余万册,在美国,占据了约50%~60%的微积分教材市场,其用户包括耶鲁等名牌院校及众多一般院校600余所。本系列丛书还包括Anton编的经典教材《线性代数及其应用》(第8版,Wiely);Jay L.Devore编的优秀教材《概率论与数理统计》(第5版,Thomson Learning)等。在努力降低引进教材售价方面,高等教育出版社做了大量和细致的工作,这套引进的教材体现了一定的权威性、系统性、先进性和经济性等特点。

  • PREFACE
  • CHAPTER 1 Probability and Distributions
    • 1.1 Introduction
    • 1.2 Set Theory
    • 1.3 The Probability Set Function
    • 1.4 Conditional Probability and Independence
    • 1.5 Random Variables of the Discrete Type
    • 1.6 Random Variables of the Continuous Type
    • 1.7 Properties of the Distribution Function
    • 1.8 Expectation of a Random Variable
    • 1.9 Some Special Expectations
    • l.10 Chebyshev's Inequality
  • CHAPTER 2 Multivariate Distributions
    • 2.1 Distributions of Two Random Variables
    • 2.2 Conditional Distributions and Expectations
    • 2.3 The Correlation Coefficient
    • 2.4 Independent Random Variables
    • 2.5 Extension to Several Random Variables
  • CHAPTER 3 Some Special Distributions
    • 3.1 The Binomial and Related Distributions
    • 3.2 The Poisson Distribution
    • 3.3 The Gamma and Chi-Square Distributions
    • 3.4 The Normal Distribution
    • 3.5 The Bivariate Normal Distribution
  • CHAPTER 4 Distributions of Functions of Random Variables
    • 4.1 Sampling Theory
    • 4.2 Transformations of Variables of the Discrete Type
    • 4.3 Transformations of Variables of the Continuous Type
    • 4.4 The Beta,t,and F Distributions
    • 4.5 Extensions of the Change-of-Variable Technique
    • 4.6 Distributions of Order Statistics
    • 4.7 The Moment-Generating-Function Technique
    • 4.8 The Distributions of X and nS2/Q2
    • 4.9 Expectations of Functions of Random Variables
  • *4.10 The Multivariate Normal Distribution
  • CHAPTER 5Limiting Distributions
    • 5.1 Convergence in Distribution
    • 5.2 Convergence in Probability
    • 5.3 Limiting Moment-Generating Functions
    • 5.4 The Central Limit Theorem
    • 5.5 Some Theorems on Limiting Distributions
  • CHAPTER 6 Introduction to Statistical Inference
    • 6.1 Point Estimation
    • 6.2 Confidence Intervals for Means
    • 6.3 Confidence Intervals for Differences of Means
    • 6.4 Tests of Statistical Hypotheses
    • 6.5 Additional Comments About Statistical Tests
    • 6.6 Chi-Square Tests
  • CHAPTER 7Sufficient Statistics
    • 7.1 Measures of Quality of Estimators
    • 7.2 A Sufficient Statistic for a Parameter
    • 7.3 Properties of a Sufficient Statistic
    • 7.4 Completeness and Uniqueness
    • 7.5 The Exponential Class of Probability Density Functions
    • 7.6 Functions of a Parameter
    • 7.7 The Case of Several Parameters
    • 7.8 Minimal Sufficient and Ancillary Statistics
    • 7.9 Sufficiency,Completeness,and Independence
  • CHAPTER 8 More About Estimation
    • 8.1 Bayesian Estimation
    • 8.2 Fisher Information and the Rao-Cramé Inequality
    • 8.3 Limiting Distributions of Maximum Likelihood Estimators
    • 8.4 Robust M-Estimation
  • CHAPTER 9 Theory of Statistical Tests
    • 9.1 Certain Best Tests
    • 9.2 Uniformly Most Powerful Tests
    • 9.3 Likelihood Ratio Tests
    • 9.4 The Sequential Probability Ratio Test
    • 9.5 Minimax,Bayesian,and Classification Procedures
  • CHAPTER 10 Inferences About Normal Models
    • 10.1 The Distributions of Certain Quadratic Forms
    • 10.2 A Test of the Equality of Several Means
    • 10.3 Noncentral X2 and Noncentral F
    • 10.4 Multiple Comparisons
    • 10.5 The Analysis of Variance
    • 10.6 A Regression Problem
    • 10.7 A Test of Independence
    • 10.8 The Distributions of Certain Quadratic Forms
    • 10.9 The Independence of Certain Quadratic Forms
  • CHAPTER 11 Nonparametric Methods
    • 11.1 Confidence Intervals for Distribution Quantiles
    • 11.2 Tolerance Limits for Distributions
    • 11.3 The Sign Test
    • 11.4 A Test of Wilcoxon
    • 11.5 The Equality of Two Distributions
    • 11.6 The Mann-Whitney-Wilcoxon Test
    • 11.7 Distributions Under Alternative Hypotheses
    • 11.8 Linear Rank Statistics
    • 11.9 Adaptive Nonparametric Methods
  • APPENDIX A
    • References
  • APPENDIX B
    • Tables
  • APPENDIX C
    • Answers to Selected Exercises
  • INDEX

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