01807cam a2200277 a 4500 100928s2011 njua b 001 0 eng 9780470289075 9780470891155 9780470891148 SDU QA275 B586 L 2011 Biemer, Paul P. 192980 Latent class analysis of survey error / Paul P. Biemer. Hoboken, N.J. : Wiley, 2011. 387 p. : ill. Wiley series in survey methodology 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"-- Error analysis (Mathematics) 101628 Sampling (Statistics) 101664 Estimation theory. = C.1 SDU GBE lcc 103906 103906 0 0 lcc 0 QA0275 B586 L2011 0 CGB 284123 SDU SDU GEN3 2025-10-07 2 0 QA275 B586 L 2011 1000385145 2025-10-07 00:00:00 C.1 2025-10-07 GBE