Missing Data and Small-Area Estimation

This book develops methods for two key problems in the analysis of large-scale surveys: dealing with incomplete data and making inferences about sparsely represented subdomains.

Inhalt
Missing data.- Prologue.- Describing incompleteness.- Single imputation and related methods.- Multiple imputation.- Case studies.- Small-area estimation.- Models for small areas.- Using auxiliary information.- Using small-area estimators.- Case studies.- Combining estimators.- Model selection.