SpringerBriefs in Statistics: An Introduction

Dörre, Achim; Emura, Takeshi

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.

Details

Published by: Springer

Publication Date: 2019-05-22

Format: Paperback

ISBN-13: 9789811362408

DOI: 10.1007/978-981-13-6241-5

Dimensions: 235cm x155cm

Pages: 109