SpringerBriefs in Statistics Analysis of Doubly Truncated Data - Achim Dörre Takeshi Emura Kartoniert (TB)

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 stat istical 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.