Latent class analysis of survey error / Paul P. Biemer.
"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...
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Superior document: | Wiley series in survey methodology |
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TeilnehmendeR: | |
Year of Publication: | 2011 |
Language: | English |
Series: | Wiley series in survey methodology.
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Online Access: | |
Physical Description: | xix, 387 p. :; ill. |
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020 | |z 9780470891155 (oBook) | ||
020 | |z 9780470891148 (e-book) | ||
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040 | |a MiAaPQ |c MiAaPQ |d MiAaPQ | ||
050 | 4 | |a QA275 |b .B47 2011 | |
082 | 0 | 4 | |a 511/.43 |2 22 |
100 | 1 | |a Biemer, Paul P. | |
245 | 1 | 0 | |a Latent class analysis of survey error |h [electronic resource] / |c Paul P. Biemer. |
260 | |a Hoboken, N.J. : |b Wiley, |c 2011. | ||
300 | |a xix, 387 p. : |b ill. | ||
490 | 1 | |a Wiley series in survey methodology | |
504 | |a Includes bibliographical references 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. | ||
533 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
650 | 0 | |a Error analysis (Mathematics) | |
650 | 0 | |a Sampling (Statistics) | |
650 | 0 | |a Estimation theory. | |
655 | 4 | |a Electronic books. | |
710 | 2 | |a ProQuest (Firm) | |
830 | 0 | |a Wiley series in survey methodology. | |
856 | 4 | 0 | |u https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=624478 |z Click to View |