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

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Longford, Nicholas T. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Statistics for Social and Behavioral Sciences,
Temas:
Statistics .
Social sciences-Statistical methods.
Computer simulation.
Epidemiology.
Mathematical statistics-Data processing.
Psychometrics.
Statistical Theory and Methods.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
Computer Modelling.
Statistics and Computing.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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