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Biased Sampling, Over-identified Parameter Problems and Beyond

Jing Qin

Jezik

Engleski

Knjiga Tvrdi uvez

Libristo kod: 16196169

Nakladnici Springer Verlag, Singapore, lipanj 2017

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

Libristo kod: 16196169

549 b

218.79 €

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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.

Informacije o knjizi

Puni naziv Biased Sampling, Over-identified Parameter Problems and Beyond

Autor Jing Qin

Jezik

Engleski

Uvez Knjiga - Tvrdi uvez

Datum izdanja 2017

Broj stranica 624

EAN 9789811048548

ISBN 9811048541

Libristo kod 16196169

Nakladnici Springer Verlag, Singapore

Težina 1098

Dimenzije 248 x 166 x 41

Kategorija

Economics, Finance, Business & Management > Economics > Economic theory & philosophy

Economics, Finance, Business & Management > Economics > Econometrics & economic statistics

Mathematics & Science > Mathematics > Applied mathematics

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