Analysis of Doubly Truncated Data : An Introduction Paperback / softback
by Achim Dorre, Takeshi Emura
Part of the SpringerBriefs in Statistics series
Paperback / softback
Description
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:109 pages, 10 Illustrations, color; 28 Illustrations, black and white; XVI, 109 p. 38 illus., 10 ill
- Publisher:Springer Verlag, Singapore
- Publication Date:22/05/2019
- Category:
- ISBN:9789811362408
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:109 pages, 10 Illustrations, color; 28 Illustrations, black and white; XVI, 109 p. 38 illus., 10 ill
- Publisher:Springer Verlag, Singapore
- Publication Date:22/05/2019
- Category:
- ISBN:9789811362408
