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Latent class analysis of survey error /

Biemer, Paul P.

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Latent class analysis of survey error /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Latent class analysis of survey error // Paul P. Biemer.
作者:	Biemer, Paul P.
出版者:	Hoboken, N.J. :Wiley, : c2011.,
面頁冊數:	xix, 387 p. :ill. ;25 cm.
標題:	Error analysis (Mathematics) -
ISBN:	9780470289075 (hbk.) :

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

Latent class analysis of survey error /Paul P. Biemer. - Hoboken, N.J. :Wiley,c2011. - xix, 387 p. :ill. ;25 cm. - Wiley series in survey methodology.

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

"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"--

ISBN: 9780470289075 (hbk.) :US103.95

LCCN: 2010040979Subjects--Topical Terms:

549972
Error analysis (Mathematics)

LC Class. No.: QA275 / .B47 2011

Dewey Class. No.: 511/.43

Latent class analysis of survey error /
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245 1 0 $a Latent class analysis of survey error / $c Paul P. Biemer.
260 # $a Hoboken, N.J. : $b Wiley, $c c2011.
300 $a xix, 387 p. : $b ill. ; $c 25 cm.
490 1 0 $a Wiley series in survey methodology
504 $a Includes bibliographical references (p. 353-368) and index.
520 # $a "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"-- $c Provided by publisher.
520 # $a "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"-- $c Provided by publisher.
650 # 0 $a Error analysis (Mathematics) $3 549972
650 # 0 $a Sampling (Statistics) $3 545623
650 # 0 $a Estimation theory. $3 565962