海外優(yōu)秀數(shù)學(xué)類教材系列叢書：數(shù)理統(tǒng)計學(xué)導(dǎo)論（第5版影印版）簡介，目錄書摘
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海外優(yōu)秀數(shù)學(xué)類教材系列叢書：數(shù)理統(tǒng)計學(xué)導(dǎo)論（第5版影印版）
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編輯推薦: 在努力降低引進教材售價方面，高等教育出版社做了大量和細(xì)致的工作，這套引進的教材體現(xiàn)了一定的專家性、系統(tǒng)性、先進性和經(jīng)濟性等特點。《數(shù)理統(tǒng)計學(xué)導(dǎo)論》（第5版影印版）是系列之一！
內(nèi)容簡介: 本系列叢書中，有Finney、Weir等編和《托馬斯微積分》（第10版，Pearson），其特色可用“呈傳統(tǒng)特色、富革新精神”概括，本書自20世紀(jì)50年代第1版以來，平均每四五年就有一個新版面世，長達50余年始終盛行于西方教壇，作者既有相當(dāng)高的學(xué)術(shù)水平，又熱愛教學(xué)，長期工作在教學(xué)一線，其中，年近90的G.B.Thomas教授長年在MIT工作，具有豐富的教學(xué)經(jīng)驗；Finney教授也在MIT工作達10年；Weir是美國數(shù)學(xué)建模競賽委員會主任。Stewart編的立體化教材《微積分》（第5版，Thomson Learning）配備了豐富的教學(xué)資源，是國際是暢銷的微積分原版教材，2003年全球銷量約40余萬冊，在美國，占據(jù)了約50％～60％的微積分教材市場，其用戶包括耶魯?shù)绕放圃盒＜氨姸嘁话阍盒?00余所。本系列叢書還包括Anton編的經(jīng)典教材《線性代數(shù)及其應(yīng)用》（第8版，Wiely）；Jay L.Devore編的優(yōu)秀教材《概率論與數(shù)理統(tǒng)計》（第5版，Thomson Learning）等。在努力降低引進教材售價方面，高等教育出版社做了大量和細(xì)致的工作，這套引進的教材體現(xiàn)了一定的專家性、系統(tǒng)性、先進性和經(jīng)濟性等特點。
目錄: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 Contionuous
1.7 Properties of the Distribution Function
1.8 Expectation of a Random Variable
1.9 Some Special Expectations
1.10 Chebyshevs Inequality
CHAPTER 2
Multivariate Distributions
2.1 Distributions of Two Random Variable
2.2 Conditonal Distributions and Expectations
2.3 The Corrdlation Coefficient
2.4 Independent Random Variables
2.5 Extension to Several Random Variables
CHAPTER 3
Some Special Distributions
3.1 The Binomial and Related Distrbutions
3.2 The Poisson Distribution
3.3 The Gamma and Chi-Square Distributions
3.4 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 Distrbutions of Order Statistics
4.7 The Moment-Generating-Function Technique
4.8 The Distributions of X and nS2
4.9 Expectations of Functions of Random Variables
4.10 The Multivariate Normal Distribution
CHAPTER 5
Limiting Distuibutions
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
……
CHAPTER 7
CHAPTER 8
CHAPTER 9
CHAPTER 10
CHAPTER 11
APPENDIX A
APPENDIX B
APPENDIX C
INDEX
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 Contionuous
1.7 Properties of the Distribution Function
1.8 Expectation of a Random Variable
1.9 Some Special Expectations
1.10 Chebyshevs Inequality
CHAPTER 2
Multivariate Distributions
2.1 Distributions of Two Random Variable
2.2 Conditonal Distributions and Expectations
2.3 The Corrdlation Coefficient
2.4 Independent Random Variables
2.5 Extension to Several Random Variables
CHAPTER 3
Some Special Distributions
3.1 The Binomial and Related Distrbutions
3.2 The Poisson Distribution
3.3 The Gamma and Chi-Square Distributions
3.4 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 Distrbutions of Order Statistics
4.7 The Moment-Generating-Function Technique
4.8 The Distributions of X and nS2
4.9 Expectations of Functions of Random Variables
4.10 The Multivariate Normal Distribution
CHAPTER 5
Limiting Distuibutions
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
……
CHAPTER 7
CHAPTER 8
CHAPTER 9
CHAPTER 10
CHAPTER 11
APPENDIX A
APPENDIX B
APPENDIX C
INDEX
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