Latent class analysis of survey error
By: Paul P. Biemer
Series: Wiley series in survey methodology
Publisher: Wiley
Published: 2011
Place of publication: Hoboken, N.J
Language: eng
Number of pages: 387
ISBN-13: 9780470289075; 9780470891155; 9780470891148
Subjects: Error analysis (Mathematics); Estimation theory; Sampling (Statistics)
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"--

"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"--
Notes: Includes bibliographical references (p. 353-368) and index.