機率統計高級教程II：統計學基礎

《機率統計高級教程II:統計學基礎》（A Graduate Course In Probability And Statistics, Volume II, Essentials Of Statistics），研究生教材，英文，適用於數學、機率統計、工程、計算機科學、經濟數學等專業。

基本介紹

• 中文名：機率統計高級教程II:統計學基礎
• 作者：源亨 (Hung.T.Nguyen) , 王通惠
• 原作品：A Graduate Course In Probability And Statistics, Volume II, Essentials Of Statistics
• 出版社：清華大學出版社
• 出版時間：2009年4月
• 頁數：416 頁
• 定價：49 元
• 開本：1/32
• 裝幀：平裝
• ISBN：9787302195016
• 語種：英文

內容簡介

《機率統計高級教程II:統計學基礎》由源亨和王通惠共同編著。

· This is an update Text book for beginning graduate students in Mathematics, Probability and Statistics, Engineering, Computer Sciences, Mathematical Economics

· It distinguishes from all existing texts on the subject from its pedagogical spirit, namely, motivations before mathematics; mathematics tools are only introduced when needed and motivated

· All theoretical results are proved in a friendly fashion

· Teaching the students, not only the concepts and possible applications, but also guiding the students with proof techniques

· This series will help students to learn with full understanding and appreciation of the subject

· It will provide interested students with solid background for research.

作者簡介

源亨，Hung.T.Nguyen，美國公民。1967年在法國University of ParisXI 獲得學士學位，1968年在法國University of ParisVI獲得碩士學位，1975年在法國University of Lille獲得數學專業的哲學博士學位。1975年至1981年，先後在美國University of California, Berkeley和University of Massachusetts, Amherst任教，1981年起在新墨西哥州立大學任教至今，先後擔任助理教授、副教授，1988年起任教授至今。

源亨教授

源亨教授是ASEE資深研究員，IFSA研究員，多家數學期刊編輯，且多次在其他研究機構獲獎或擔任客座教授。

1974年以來，源亨教授共出版了25本專著，發表了74篇學術論文。

王通惠，Tonghui (Tony) Wang，美國新墨西哥州立大學教授。

王通惠教授

圖書目錄

Preface

1 An Invitation to Statistics

1.1 A Motivating Example

1.2 Generalities on Survey Sampling

1.3 Statistical Data

1.4 Statistical Models

1.5 Some Computational Statistics

1.6 Exercises

2 Sampling Distributions

2.1 Sampling from a Bernoulli Population

2.2 Sampling from a Normal Population

2.3 Sampling from an Exponential Population

2.4 Order StatisticS

2.5 Distributions of Quadratic Forms

3 Data Reduction

3.1 Sufficient Statistics

3.2 Complete Statistics

3.3 Exponential and Location-scale Families

4 Estimation

4.1 Point Estimation

4.2 The Best Unbiased Estimation

4.3 Fisher Information and Efficiency

4.4 Two Methods of Finding Estimators

4.5 Confidence Sets

4.6 Bayes Estimation

5 Large Sample Estimation

5.1 Consistency

5.2 Asymptotic Normality

5.3 Asymptotic Normality of Maximum Likelihood Estimators

5.4 Asymptotic Efficiency

5.5 Large Sample Interval Estimation

5.6 Robust Estimation

6 Tests of Statistical Hypotheses

7 Nonparametric Statistical Inference

A Common Distributions

B Some Common Statistical Tables

Bibliography

Index

……