《概率统计高级教程II统计学基础来自》 是 清华大学出版社;出版的图书， ISBN是9787302195016

• 书名 概率统计高级教程II统计学基础
• 页数 416 页
• 开本 32 开
• 装帧 平装

图书信息

　　出版事京质粮图限令李送社: 清华大学出版社; 第1版 (2009年4月1日)

　　外文书名: A Gradua来自te Course Probabi护九曲零初lity And Stat360百科istics Volu台井困还土触me Ii Essen善严tials Of Statistics

　　平装: 416页

　　正文语种: 简体中文

　　开本: 32

　　ISBN硫形经石酸须包食情金: 9787302195016

　　条形码: 9787302195016

　　尺寸: 22.6 x 16.4 x 2 cm

　　重量: 522 g

作者简介

　　作者:(美国)源亨 (Hung.T.Nguyen) (美国林该言垂多回至)王通惠

内容简介

　祖充互配拿即妒改　《概率统计高级教程II统计学基础》是源亨和王通惠共同编著的。· This is an update Text book fo放黑视团令改r beginning graduate studen来自ts in Mathematics, Probability and Statistics, Engineering, Computer 句种校离不来类Sciences, Mathematical Economics

　　· It distinguishes from all existing texts on the subject from its pedagogical spirit, namely, moti轻述都深报造尽祖vations before mathematics; mathemati毫余似甲夫政cs tools are only introduced when need市过地常收缩多艺够ed and motivated

　　· All theoretical results are proved in a friendly fashion

　　· Teaching the students, not only the concepts 告奏低推聚and possible applications, but also guiding the studen360百科ts with proof techniques

　　· T尽知色依设his series will 很得材煤色笔个段help students t普其月将任抗o learn with full understanding and appreciation of the subject

　　· It will provide intere清太小力状限好定将sted studen备顾低烟效原严迫ts with solid backgroun善波聚顺求必袁d for research.

目录

　　Preface

　　1 An Invitation to Statistics

　　1.1 A Motiv确厂销印功扬致米宗ating Examp利那跑le

　　1.2 Generalities on Survey Sampling

　　1.3 Statistical Data

　　1.4 Statistical Models

　　1.5 Some Computational Statistic你s

　　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

　　项补必龙划2.5 Distributions of Quadratic Forms

　　2.6 Exercises

　　3 Data Reduc谈古上毛器前导tion

　　3.1 Sufficient Statistics

　　3.2 Complete Statistics

　　3.3 Exponential and Location-scale Families

　　3.4 Exercises

　　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

　　4.7 Exercises

　　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

　　5.7 Exercises

　　6 Tests of Statistical Hypotheses

　　7 Nonparametric Statistical Inference

　　A Common Distributions

　　B Some Common Statistical Tables

　　Bibliography

　　Index