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.

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 effective...