点估计理论
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作者（美）瓦多莱曼（Lehmann,E.L.） 著
出版社世界图书出版公司
ISBN9787510004841
出版时间2009-05
版次1
装帧平装
开本16开
纸张胶版纸
页数589页
定价70元
上书时间2024-07-31
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基本信息
书名:点估计理论
定价：70元
作者:（美）瓦多莱曼（Lehmann,E.L.） 著
出版社：世界图书出版公司
出版日期：2009-05-01
ISBN：9787510004841
字数：
页码：589
版次：2
装帧：平装
开本：24开
商品重量：
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内容提要
《点估计理论(第2版)(英文版)》内容为：Sincethepublicationin1983ofTheoryofPointEstimation,muchnewworkhasmadeitdesirabletobringoutasecondedition.Theinclusionofthenewmaterialhasincreasedthelengthofthebookfrom500to600pages;oftheapproximately1000referencesabout25%haveappearedsince1983.ThegreatestchangehasbeentheadditiontothesparsetreatmentofBayesianinferenceinthefirstedition.ThisincludestheadditionofnewsectionsonEquivariant,Hierarchical,andEmpiricalBayes,andontheircomparisons.Othermajoradditionsdealwithnewdevelopmentsconcerningtheinformationin-equalityandsimultaneousandshrinkageestimation.TheNotesattheendofeachchapternowprovidenotonlybibliographicandhistoricalmaterialbutalsointroductionstorecentdevelopmentinpointestimationandotherrelatedtopicswhich,forspacereasons,itwasnotpossibletoincludeinthemaintext.Theproblemsectionsalsohavebeengreatlyexpanded.
目录
Preface to the Second EditionPreface to the First EditionList of TablesList of FiguresList of ExamplesTable of Notation1 Preparations 1 The Problem 2 Measure Theory and Integration 3 Probability Theory 4 Group Families 5 Exponential Families 6 Sufficient Statistics 7 Convex Loss Functions 8 Convergence in Probability and in Law 9 Problems 10 Notes2 Unbiasedness 1 UMVU Estimators 2 Continuous One- and Two-Sample Problems 3 Discrete Distributions 4 Nonparametric Families 5 The Information Inequality 6 The Multiparameter Case and Other Extensions 7 Problems 8 Notes3 Equivarianee 1 First Examples 2 The Principle of Equivariance 3 Location-Scale Families 4 Normal Linear Models 5 Random and Mixed Effects Models 6 Exponential Linear Models 7 Finite Population Models 8 Problems 9 Notes4 Average Risk Optimality 1 Introduction 2 First Examples 3 Single-Prior Bayes 4 Equivariant Bayes 5 Hierarchical Bayes 6 Empirical Bayes 7 Risk Comparisons 8 Problems 9 Notes5 Minimaxity and Admissibility 1 Minimax Estimation 2 Admissibility and Minimaxity in Exponential Families 3 Admissibility and Minimaxity in Group Families 4 Simultaneous Estimation 5 Shrinkage Estimators in the Normal Case 6 Extensions 7 Admissibility and Complete Classes 8 Problems 9 Notes6 Asymptotic Optimality 1 Performance Evaluations in Large Samples 2 Asymptotic Efficiency 3 Efficient Likelihood Estimation 4 Likelihood Estimation: Multiple Roots 5 The Multiparameter Case 6 Applications 7 Extensions 8 Asymptotic Efficiency of Bayes Estimators 9 Problems 10 NotesReferencesAuthor IndexSubject Index
作者介绍
作者：(美国)瓦多莱曼(Lehmann.E.L.)
序言
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