Biased Sampling, Over-identified Parameter Problems and Beyond

Language: English

Published by Springer, 2017

9811048541 / 9789811048548

Series: Book 10 of 19 - ICSA Book Series in Statistics

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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. Sprache: Englisch Gewicht in Gramm: 1064.

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Title
Biased Sampling, Over-identified Parameter Problems and Beyond
Author
Jing Qin
Publisher
Springer
Publication year
2017
Condition
Neu
Binding
Gebundene Ausgabe
Language
English
ISBN 10
9811048541
ISBN 13
9789811048548
Item weight
1,064 grams
Series
Book 10 of 19: ICSA Book Series in Statistics

Home-set

Mannheim, Germany

5-star seller

AbeBooks seller since April 13, 2026

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Home-set

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