03489nam 2200637 a 450 991082749330332120230725025733.01-118-09957-51-282-88443-397866128844360-470-89115-70-470-89114-9(CKB)2670000000060973(EBL)624478(OCoLC)696568885(SSID)ssj0000438795(PQKBManifestationID)12172909(PQKBTitleCode)TC0000438795(PQKBWorkID)10452933(PQKB)10884896(MiAaPQ)EBC624478(EXLCZ)99267000000006097320100928d2011 uy 0engur|n|---|||||txtccrLatent class analysis of survey error[electronic resource] /Paul P. BiemerHoboken, N.J. Wiley20111 online resource (412 p.)Wiley series in survey methodologyDescription based upon print version of record.0-470-28907-4 Includes bibliographical references and index.Latent 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 EssentialsReferencesIndex"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"--Provided by publisher."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"--Provided by publisher.Wiley series in survey methodology.Error analysis (Mathematics)Sampling (Statistics)Estimation theoryError analysis (Mathematics)Sampling (Statistics)Estimation theory.511/.43519.535Biemer Paul P175373MiAaPQMiAaPQMiAaPQBOOK9910827493303321Latent class analysis of survey error4104872UNINA