ICSA Book Series in Statistics

Biased Sampling, Over-identified Parameter Problems and Beyond

Authors: Qin, Jing

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  • Provides a comprehensive overview of traditional statistical methods such as likelihood based inference and estimating function theory
  • Extensively discusses many different biased sampling problems
  • Explicitly addresses the connections between Godambe’s estimating function theory, Hansen’s generalized method of moments, and Qin and Lawless’ empirical likelihood approach for over-identified parameter problems
  • Makes the general theory of biased sampling accessible to upper undergraduate and graduate students 
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eBook 106,99 €
price for Spain (gross)
valid through March 31, 2020
  • ISBN 978-981-10-4856-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
valid through March 31, 2020
  • ISBN 978-981-10-4854-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 135,19 €
price for Spain (gross)
valid through March 31, 2020
  • ISBN 978-981-13-5249-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics parlance) and over-identified parameter estimation problems. Biased sampling problems appear in many areas of research, including Medicine, Epidemiology and Public Health, the Social Sciences and Economics. The book addresses a range of important topics, including case and control studies, causal inference, missing data problems, meta-analysis, renewal process and length biased sampling problems, capture and recapture problems, case cohort studies, exponential tilting genetic mixture models etc.
The goal of this book is to make it easier for Ph. D students and new researchers to get started in this research area. It will be of interest to all those who work in the health, biological, social and physical sciences, as well as those who are interested in survey methodology and other areas of statistical science, among others. 

About the authors

Dr. Jing Qin currently serves as a Mathematical Statistician at the National Institute of Allergy and Infectious Diseases (NIAID). He received his Ph.D. in Statistics from the University of Waterloo, Canada and completed his postdoctoral studies at Stanford University and the University of Waterloo. His research interests include case-control studies, epidemiology studies, missing data analysis, causal inference, and related applied problems.

Reviews

“This book is the first comprehensive overview of which I am aware that shows how statistical methods such as empirical likelihood and generalized method of moments can be appropriately and efficiently used in the over-identified parameter problem. … With its extensive exercises and easy style, this book is suitable as an upper-level textbook for graduate students or as a reference book for workshops that target postdoctoral fellows and junior researchers.” (JingNing, Journal of the American Statistical Association JASA, Vol. 113 (522), 2018)

Table of contents (26 chapters)

Table of contents (26 chapters)

Buy this book

eBook 106,99 €
price for Spain (gross)
valid through March 31, 2020
  • ISBN 978-981-10-4856-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 135,19 €
price for Spain (gross)
valid through March 31, 2020
  • ISBN 978-981-10-4854-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 135,19 €
price for Spain (gross)
valid through March 31, 2020
  • ISBN 978-981-13-5249-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Biased Sampling, Over-identified Parameter Problems and Beyond
Authors
Series Title
ICSA Book Series in Statistics
Copyright
2017
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-10-4856-2
DOI
10.1007/978-981-10-4856-2
Hardcover ISBN
978-981-10-4854-8
Softcover ISBN
978-981-13-5249-2
Series ISSN
2199-0980
Edition Number
1
Number of Pages
XVI, 624
Number of Illustrations
4 b/w illustrations, 1 illustrations in colour
Topics