000			01807cam a2200277 a 4500
008			100928s2011 njua b 001 0 eng
020			_a9780470289075
020			_a9780470891155
020			_a9780470891148
040			_aSDU
050	0	0	_aQA275 _bB586 L 2011
100	1		_aBiemer, Paul P. _9192980
245	1	0	_aLatent class analysis of survey error / _cPaul P. Biemer.
260			_aHoboken, N.J. : _bWiley, _c2011.
300			_a387 p. : _bill.
490	0		_aWiley series in survey methodology
505			_aHKBU library
518			_aYT2025 M10
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"--
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"--
650		0	_aError analysis (Mathematics) _9101628
650		0	_aSampling (Statistics) _9101664
650		0	_aEstimation theory.
900			_a= C.1 SDU
942			_cGBE _2lcc
999			_c103906 _d103906