LEADER 03489nam 2200637 a 450 001 9910827493303321 005 20230725025733.0 010 $a1-118-09957-5 010 $a1-282-88443-3 010 $a9786612884436 010 $a0-470-89115-7 010 $a0-470-89114-9 035 $a(CKB)2670000000060973 035 $a(EBL)624478 035 $a(OCoLC)696568885 035 $a(SSID)ssj0000438795 035 $a(PQKBManifestationID)12172909 035 $a(PQKBTitleCode)TC0000438795 035 $a(PQKBWorkID)10452933 035 $a(PQKB)10884896 035 $a(MiAaPQ)EBC624478 035 $a(EXLCZ)992670000000060973 100 $a20100928d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLatent class analysis of survey error$b[electronic resource] /$fPaul P. Biemer 210 $aHoboken, N.J. $cWiley$d2011 215 $a1 online resource (412 p.) 225 1 $aWiley series in survey methodology 300 $aDescription based upon print version of record. 311 $a0-470-28907-4 320 $aIncludes bibliographical references and index. 327 $aLatent Class Analysis of Survey Error; Contents; Preface; Abbreviations; CHAPTER 1: Survey Error Evaluation; CHAPTER 2: A General Model for Measurement Error; CHAPTER 3: Response Probability Models for Two Measurements; CHAPTER 4: Latent Class Models for Evaluating Classification Errors; CHAPTER 5: Further Aspects of Latent Class Modeling; CHAPTER 6: Latent Class Models for Special Applications; CHAPTER 7: Latent Class Models for Panel Data; CHAPTER 8: Survey Error Evaluation: Past, Present, and Future; APPENDIX A: Two-Stage Sampling Formulas; APPENDIX B: Loglinear Modeling Essentials 327 $aReferencesIndex 330 $a"This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in reducing the error for future surveys. The book focuses on models that are appropriate for categorical data, although there are references to the differences and special problems that arise in the analysis and modeling of error for continuous data. Though the primary modeling method that is described is latent class analysis (LCA), a wide range of related models and applications are also discussed"--$cProvided by publisher. 330 $a"This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in reducing the error for future surveys"--$cProvided by publisher. 410 0$aWiley series in survey methodology. 606 $aError analysis (Mathematics) 606 $aSampling (Statistics) 606 $aEstimation theory 615 0$aError analysis (Mathematics) 615 0$aSampling (Statistics) 615 0$aEstimation theory. 676 $a511/.43 676 $a519.535 700 $aBiemer$b Paul P$0175373 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910827493303321 996 $aLatent class analysis of survey error$94104872 997 $aUNINA