Analysis of Doubly Truncated Data: An Introduction (SpringerBriefs in Statistics) - Softcover

Dörre, Achim; Emura, Takeshi

Softcover

ISBN 10: 9811362408 ISBN 13: 9789811362408

Publisher: Springer, 2019

Synopsis

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.

About this title

About the Author

Achim Dörre, University of Rostock

 

Takeshi Emura, Chang Gung University

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2019
• Language: English
• ISBN 10: 9811362408
• ISBN 13: 9789811362408
• Binding: Paperback
• Edition number: 1
• Number of pages: 125