Biased Sampling, Over-identified Parameter Problems and Beyond

Autor: Jing Qin

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Legare: Copertă tare

Editura: Springer Verlag, Singapore

Disponibilitate: În depozitul extern

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This book is devoted to biased sampling problems (also called choice-based sampling in Econometrics...

Informații despre carte

Autor

Jing Qin

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2017

Pagini

624

EAN

9789811048548

ISBN

9811048541

Enbook ID

16196169

Editura

Springer Verlag, Singapore

Greutate

1098

Dimensiuni

248 x 166 x 41

Descriere completă

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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Biased Sampling, Over-identified Parameter Problems and Beyond

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