Latent class analysis of survey error:
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Bibliographic Details
Main Author: Biemer, Paul P. (Author)
Format: Electronic eBook
Language:English
Published: Hoboken, N.J. Wiley 2010
Series:Wiley series in survey methodology
Subjects:
Online Access:FRO01
UBG01
Volltext
Item Description:"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 are references to the differences and special problems that arise in the analysis and modeling of error for continuous data. Though the primary modeling method that is described is latent class analysis (LCA), a wide range of related models and applications are also discussed"--
Includes bibliographical references (pages 353-368) and index
Physical Description:1 Online-Ressource (pages .)
ISBN:9780470891155
0470891157
9780470891148
0470891149
9780470289075
0470289074

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