Biased Sampling, Over-identified Parameter Problems and Beyond (Paperback, Softcover reprint of the original 1st ed. 2017)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	ICSA Book Series in Statistics
Release date:	December 2018
First published:	2017
Authors:	Jing Qin
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	624
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-981-13-5249-2
Categories:	Books > Business & Economics > Economics > Economic theory & philosophy Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > General Promotions
LSN:	981-13-5249-6
Barcode:	9789811352492

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