Biased Sampling, Over-identified Parameter Problems and Beyond (ICSA Book Series in Statistics) - Softcover

Buch 10 von 19: ICSA Book Series in Statistics

Qin, Jing

 
9789811352492: Biased Sampling, Over-identified Parameter Problems and Beyond (ICSA Book Series in Statistics)
Softcover
ISBN 10: 9811352496 ISBN 13: 9789811352492
Verlag: Springer, 2018

Inhaltsangabe

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. 

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Über die Autorin bzw. den Autor

Dr. Jing Qin currently serves as a Mathematical Statistician at the National Institute of Allergy and Infectious Diseases (NIAID). He received his Ph.D. in Statistics from the University of Waterloo, Canada and completed his postdoctoral studies at Stanford University and the University of Waterloo. His research interests include case-control studies, epidemiology studies, missing data analysis, causal inference, and related applied problems.

Von der hinteren Coverseite

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. 

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Verlag
Springer
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
9811352496
ISBN 13 
9789811352492
Einband
Taschenbuch
Anzahl der Seiten
640
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Deutschland

Weitere beliebte Ausgaben desselben Titels

9789811048548: Biased Sampling, Over-identified Parameter Problems and Beyond (ICSA Book Series in Statistics)

Vorgestellte Ausgabe

ISBN 10:  9811048541 ISBN 13:  9789811048548
Verlag: Springer, 2017
Hardcover