Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys (Chapman & Hall/Crc Statistics in the Social and Behavioral Sciences) - Tapa blanda

Tian, Guo-Liang

 
9780367379629: Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys (Chapman & Hall/Crc Statistics in the Social and Behavioral Sciences)
Tapa blanda
ISBN 10: 0367379627 ISBN 13: 9780367379629
Editorial: Routledge, 2019

Sinopsis

A self-contained, systematic introduction, this book shows you how to draw valid statistical inferences from survey data with sensitive characteristics. It guides you in applying the non-randomized response approach in surveys and new non-randomized response designs. The techniques covered integrate the strengths of existing approaches, including randomized response models, incomplete categorical data design, the EM algorithm, the bootstrap method, and the data augmentation algorithm. All R codes for the examples are available online.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Guo-Liang Tian is an associate professor of statistics in the Department of Statistics and Actuarial Science at the University of Hong Kong. Dr. Tian has published more than 60 (bio)statistical and medical papers in international peer-reviewed journals on missing data analysis, constrained parameter models and variable selection, sample surveys with sensitive questions, and cancer clinical trial and design. He is also the co-author of two books. He received a PhD in statistics from the Institute of Applied Mathematics, Chinese Academy of Science.

Man-Lai Tang is an associate professor in the Department of Mathematics at Hong Kong Baptist University. Dr. Tang is an editorial board member of Advances and Applications in Statistical Sciences and the Journal of Probability and Statistics; associate editor of Communications in Statistics-Theory and Methods and Communications in Statistics-Simulation and Computation; and editorial advisory board member of the Open Medical Informatics Journal. His research interests include exact methods for discrete data, equivalence/non-inferiority trials, and biostatistics. He received a PhD in biostatistics from UCLA.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Routledge
Año de publicación
2019
Idioma
Inglés
ISBN 10 
0367379627
ISBN 13 
9780367379629
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
324
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781439855331: Incomplete Categorical Data Design: Non-Randomized Response Techniques for Sensitive Questions in Surveys: 11 (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Edición Destacada

ISBN 10:  1439855331 ISBN 13:  9781439855331
Editorial: Chapman and Hall/CRC, 2013
Tapa dura