Analysis of Doubly Truncated Data An Introduction /

• Main Authors: Dörre, Achim (Author, http://id.loc.gov/vocabulary/relators/aut), Emura, Takeshi (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: JSS Research Series in Statistics,
• Subjects: Statistics .; Biostatistics.; Statistical Theory and Methods.; Applied Statistics.; Statistics and Computing/Statistics Programs.
• Physical Description: XVI, 109 p. 38 illus., 10 illus. in color. online resource.
• ISBN: 9789811362415
• ISSN: 2364-0057
• DOI: 10.1007/978-981-13-6241-5

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.