Missing Data and Small-Area Estimation Modern Analytical Equipment for the Survey Statistician /

• Κύριος συγγραφέας: Longford, Nicholas T. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2005.
• Σειρά: Statistics for Social Science and Public Policy
• Θέματα: Statistics.; Epidemiology.; Computer simulation.; Psychometrics.; Statistical Theory and Methods.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Simulation and Modeling.; Statistics and Computing/Statistics Programs.

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. The presentation is committed to two particular methods, multiple imputation for missing data and multivariate composition...

Πίνακας περιεχομένων:

• 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.