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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Biemer, Paul P.
Format: Electronic eBook
Language:Inglés
Published: Hoboken, N.J. : Wiley, 2010.
Subjects:
Error analysis (Mathematics)
Sampling (Statistics)
Estimation theory.
Théorie des erreurs.
Échantillonnage (Statistique)
Théorie de l'estimation.
MATHEMATICS > General.
Estimation theory
Online Access:Texto completo
Table of Contents:
  • 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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