Biased Sampling, Over-identified Parameter Problems and by Jing Qin

By Jing Qin

This e-book is dedicated to biased sampling difficulties (also known as choice-based sampling in Econometrics parlance) and over-identified parameter estimation difficulties. Biased sampling difficulties look in lots of components of study, together with drugs, Epidemiology and Public health and wellbeing, the Social Sciences and Economics. The ebook addresses a variety of vital issues, together with case and keep an eye on reviews, causal inference, lacking facts difficulties, meta-analysis, renewal technique and size biased sampling difficulties, trap and recapture difficulties, case cohort experiences, exponential tilting genetic blend types etc.
The objective of this booklet is to make it more uncomplicated for Ph. D scholars and new researchers to start during this examine region. will probably be of curiosity to all those that paintings within the health and wellbeing, organic, social and actual sciences, in addition to people who are drawn to survey method and different components of statistical technological know-how, between others. 

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