Susanne Rässler

Statistical Matching (eBook, PDF)

A Frequentist Theory, Practical Applications, and Alternative Bayesian Approaches

• Format: PDF

Produktbeschreibung

This book deals with multiple imputatioin (MI) techniques using real world data.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 264
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461300533
• Artikelnr.: 44052835

Autorenporträt

Susanne Rässler, Universität Erlangen-Nürnberg, Nürnberg, Germany

Inhaltsangabe

1.1 Statistical Matching - Problems and Perspectives.- 1.2 Record Linkage Versu s Statistical Matching.- 1.3 Statistical Matching as Nonresponse Phenomenon.- 1.4 Identification Problems Inherent in Statistical Matching.- 1.5 Outline of th e Book.- 1.6 Bibliographic and Software Notes.- Frequentist Theory of Statistical Matching.- 2.1 Introduction and Chapters Outline.- 2.2 The Matching Process.- 2.3 Properties of the Matching Process.- 2.4 Matching by Propensity Scores.- 2.5 Obj ectives of Statisti cal Matching.- 2.6 Some Illustrations.- 2.7 Concluding Remarks.- Practical Applications of Statistical Matching.- 3.1 Introduction and Chapters Outline.- 3.2 History of Statistical Matching Techniques.- 3.3 Overview of Traditional Approaches.- Alternative Approaches to Statistical Matching.- 4.1 Introduction and Chapters Outline.- 4.2 Some Basic Notation.- 4.3 Multiple Imputation Inference.- 4.4 Regression Imputation with Random Residuals.- 4.5 Noniterative Multivariate Imputation Procedure.- 4.6 Data Augmentation.- 4.7 Iterative Univariate Imputations by Chained Equ ations.- 4.8 Simulation Study - Multivariate Normal Data.- 4.9 Concluding Remarks.- Empirical Evaluation of Alternative Approaches.- 5.1 Introduction and Chapters Outline.- 5.2 Simulation Study Using Survey Data.- 5.3 Simulation Study Using Generated Data.- 5.4 Design of the Evaluation Study.- 5.5 Results Due to Alternative Approaches.- 5.6 Concluding Remarks.- Synopsis and Outlook.- 6.1 Synopsis.- 6.2 Outlook.- Some Technicalities.- Multivariate Normal Model Completely Observed.- Normally Distributed Data Not Jointly Observed.- Basic S-PLUS Routines.- EVALprio.- EVALd.- NIBAS.- Tables.- References.

Rezensionen

"Statistical matching is one of the methods for the imputation of missing results from survey sampling...This book is totally focused on methods, applications, and results. It devotes little space to the presentation and derivation of various theorems." Technometrics, May 2004