Latent class analysis of survey error /

"This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Biemer, Paul P.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, 2010.
Temas:
Error analysis (Mathematics)
Sampling (Statistics)
Estimation theory.
Théorie des erreurs.
Échantillonnage (Statistique)
Théorie de l'estimation.
MATHEMATICS > General.
Estimation theory
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Frontmatter
  • Survey Error Evaluation
  • A General Model for Measurement Error
  • Response Probability Models for Two Measurements
  • Latent Class Models for Evaluating Classification Errors
  • Further Aspects of Latent Class Modeling
  • Latent Class Models for Special Applications
  • Latent Class Models for Panel Data
  • Survey Error Evaluation: Past, Present, and Future
  • Appendix A: Two-Stage Sampling Formulas
  • Appendix B: Loglinear Modeling Essentials
  • References
  • Index
  • Wiley Series in Survey Methodology.

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