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Biased Sampling, Over-identified Parameter Problems and Beyond
Language
English
English
Book
Hardback
This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics...
Full description
Libristo code: 16196169
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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.
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About the book
Full name
Biased Sampling, Over-identified Parameter Problems and Beyond
Author
Jing Qin
Language
English
English
Binding
Book - Hardback
Date of issue
2017
Number of pages
624
EAN
9789811048548
ISBN
9811048541
Libristo code
16196169
Publishers
Springer Verlag, Singapore
Weight
1098
Dimensions
248 x 166 x 41
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