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Latent class analysis of survey error

Author: Paul P Biemer
Publisher: Hoboken, N.J. : Wiley, ©2011.
Series: Wiley series in survey methodology.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"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 reducing the error for future surveys. The book focuses on models that are appropriate for categorical data, although there
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Paul P Biemer
ISBN: 9780470289075 0470289074 9780470891155 0470891157 9780470891148 0470891149
OCLC Number: 639164022
Description: xix, 387 pages : illustrations ; 25 cm.
Contents: 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.
Series Title: Wiley series in survey methodology.
Responsibility: Paul P. Biemer.

Abstract:

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  Read more...

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"Biemer (statistics, RTI International and survey research and development, U. of North Carolina at Chapel Hill) provides a comprehensive source on the primary statistical tools and techniques used Read more...

 
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