Téléchargez le livre : Biased Sampling, Over-identified Parameter Problems and Beyond

Biased Sampling, Over-identified Parameter Problems and Beyond

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Éditeur :

Springer


Collection :

ICSA Book Series in Statistics

Paru le : 2017-06-14

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Description

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. 
Pages
624 pages
Collection
ICSA Book Series in Statistics
Parution
2017-06-14
Marque
Springer
EAN papier
9789811048548
EAN PDF
9789811048562
Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
62
Taille du fichier
6420 Ko
Prix
190,79 €
EAN EPUB
9789811048562
Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
62
Taille du fichier
11233 Ko
Prix
190,79 €

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