Incomplete categorical data design non-randomized response techniques for sensitive questions in surveys

"Preface Acquirement of sensitive information is often needed in a broad range of statistical applications. For instance, some behavioral, epidemiological, public health and social studies may need to solicit information on reproductive history, sexual behavior, abortion, human immunode ciency...

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Detalles Bibliográficos
Autor principal: Tian, Guo-Liang (-)
Otros Autores: Tang, Man-Lai
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton, Fla. : Taylor & Francis 2014.
Edición:1st edition
Colección:Statistics in the social and behavioral sciences series ; 11.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628515306719
Tabla de Contenidos:
  • Front Cover; Contents; Preface; CHAPTER 1: Introduction; CHAPTER 2: The Crosswise Model; CHAPTER 3: The Triangular Model; CHAPTER 4: Sample Sizes for the Crosswise and Triangular Models; CHAPTER 5: The Multi-category Triangular Model; CHAPTER 6: The Hidden Sensitivity Model; CHAPTER 7: The Parallel Model; CHAPTER 8: Sample Size Calculationfor the Parallel Model; CHAPTER 9: The Multi-category Parallel Model; CHAPTER 10: A Variant of the Parallel Model; CHAPTER 11: The Combination Questionnaire Model; APPENDIX A: The EM and DA Algorithms; APPENDIX B: The Exact IBF Sampling
  • APPENDIX C: Some Statistical DistributionsList of Figures; List of Tables; References; Back Cover