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Latent class analysis of survey error / Paul P. Biemer.
Material type:
TextSeries: Wiley series in survey methodologyPublication details: Hoboken, N.J. : Wiley, 2011.Description: 387 p. : illISBN: - 9780470289075
- 9780470891155
- 9780470891148
- QA275 B586 L 2011
English Books
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English Books
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MATRIX Library General Eng/FL.3 | General Books | QA275 B586 L 2011 (Browse shelf(Opens below)) | C.1 | Available | 1000385145 |
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| QA274.7 F845 D 2011 Dirichlet forms and symmetric Markov processes / | QA274.75 J33 A 2013 Applied diffusion processes from engineering to finance / | QA274.8 I12 F 2011 Fundamentals of stochastic networks / | QA275 B586 L 2011 Latent class analysis of survey error / | QA276 A695 S8 2005 Statistics for research with a guide to SPSS / | QA276 C285 A3 1997 Applied Statistical Methods : for Business, Economics, and the Social Sciences / | QA276 C285 A3 1997 Applied Statistical Methods : for Business, Economics, and the Social Sciences / |
HKBU library
YT2025 M10
"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"--
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