Analysis of Doubly Truncated Data: An Introduction (JSS Research Series in Statistics) - Softcover

Dörre, Achim; Emura, Takeshi

 
9789811362408: Analysis of Doubly Truncated Data: An Introduction (JSS Research Series in Statistics)

Inhaltsangabe

This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially survival data arising in biostatistics and economics. Because truncation is a phenomenon that is often encountered in non-experimental studies, the methods presented here can be applied to many branches of science. The book provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields.

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Über die Autorin bzw. den Autor

Achim Dörre, University of Rostock

 

Takeshi Emura, Chang Gung University


Von der hinteren Coverseite

This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially survival data arising in biostatistics and economics. Because truncation is a phenomenon that is often encountered in non-experimental studies, the methods presented here can be applied to many branches of science. The book provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields.

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Weitere beliebte Ausgaben desselben Titels

9789811362422: Analysis of Doubly Truncated Data: An Introduction

Vorgestellte Ausgabe

ISBN 10:  9811362424 ISBN 13:  9789811362422
Verlag: Springer, 2019
Softcover