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Author Biemer, Paul P.

Title Latent class analysis of survey error [electronic resource] / Paul P. Biemer.

Imprint Hoboken, N.J. : Wiley, 2011.

Copies

Location Call No. OPAC Message Status
 Axe ProQuest E-Book  Electronic Book    ---  Available
Description xix, 387 p. : ill.
Series Wiley series in survey methodology
Wiley series in survey methodology.
Bibliography Includes bibliographical references and index.
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 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"-- Provided by publisher.
"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"-- Provided by publisher.
Reproduction Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Subject Error analysis (Mathematics)
Sampling (Statistics)
Estimation theory.
Genre/Form Electronic books.
Added Author ProQuest (Firm)
ISBN 9780470289075 (cloth)
9780470891155 (oBook)
9780470891148 (e-book)

 
    
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