Biased sampling, over-identified parameter problems and beyond /

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Bibliographic Details
Author / Creator:Qin, Jing, author.
Imprint:Cham : Springer, 2017.
Description:1 online resource
Language:English
Series:ICSA book series in statistics
ICSA book series in statistics.
Subject:Sampling (Statistics)
Applied mathematics.
Economic theory & philosophy.
Probability & statistics.
MATHEMATICS -- Probability & Statistics -- General.
Sampling (Statistics)
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11307989
Hidden Bibliographic Details
ISBN:9789811048562
9811048568
9789811048548
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (EBSCO, viewed June 21, 2017).
Summary: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.--
Other form:Print version: Qin, Jing. Biased sampling, over-identified parameter problems and beyond. Singapore : Springer, ©2017 xvi, 624 pages ICSA book series in statistics. 2199-0999 9789811048548