Latent class analysis of survey error / Paul P. Biemer.

9780470289075 (cloth)
9780470891155 (oBook)
9780470891148 (e-book)

Hoboken, N.J. : Wiley, 2011.

English

1 online resource (xix, 387 pages ) : illustrations

QA275 .B47 2011

511/.43

"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.

Includes bibliographical references and index.

Access limited to authorized users.

Wiley series in survey methodology.

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