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Biased Sampling, Over-Identified Parameter Problems and Beyond

by Jing Qin
Save 35% Save 35%
Current price ₹13,221.00
Original price ₹20,339.00
Original price ₹20,339.00
Original price ₹20,339.00
(-35%)
₹13,221.00
Current price ₹13,221.00

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Book cover type: Paperback
  • ISBN13: 9789811352492
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 624
  • Original Price: EUR 179.99
  • Language: English
  • Edition: Softcover Repri
  • Item Weight: 898 grams
  • BISAC Subject(s): Probability & Statistics / General, Applied, and Statistics

From the Back Cover
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.

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.

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