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商品詳細
Biased Sampling, Over-Identified Parameter Problems and Beyond.
・ISBN 978-981-10-4854-8 hard EUR 179.99
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| 著者・編者 | Qin, Jing, |
|---|---|
| シリーズ | ICSA Book Series in Statistics |
| 出版社 | (Springer, GW) |
| 出版年月 | 2017 |
| ページ数 | 624 pp. |
| 言語 | ENG |
| ニュース番号 | ＜640-341 640-P890＞ |
解説
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.
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.