Overview
- Serves as an accessible introductory textbook on the analysis of doubly truncated data for students of statistics, mathematics, and econometrics
- Provides illustrative examples from biostatistics, economics, and other fields, with R codes to help readers analyze their data
- Presents clearer and more detailed explanations than those found in most journal papers
Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)
Part of the book sub series: JSS Research Series in Statistics (JSSRES)
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Table of contents (5 chapters)
Keywords
About this book
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.
Reviews
“The aim of this book is to provide some fundamental ideas and methodologies for analysing doubly truncated data. ... The methodology of this book could be helpful to avoid a systematic bias in the contents of data due to loss of information.” (Nikita E. Ratanov, zbMATH 1434.62008, 2020)
Authors and Affiliations
About the authors
Achim Dörre, University of Rostock
Takeshi Emura, Chang Gung University
Bibliographic Information
Book Title: Analysis of Doubly Truncated Data
Book Subtitle: An Introduction
Authors: Achim Dörre, Takeshi Emura
Series Title: SpringerBriefs in Statistics
DOI: https://doi.org/10.1007/978-981-13-6241-5
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
Softcover ISBN: 978-981-13-6240-8Published: 22 May 2019
eBook ISBN: 978-981-13-6241-5Published: 13 May 2019
Series ISSN: 2191-544X
Series E-ISSN: 2191-5458
Edition Number: 1
Number of Pages: XVI, 109
Number of Illustrations: 28 b/w illustrations, 10 illustrations in colour
Topics: Statistical Theory and Methods, Applied Statistics, Biostatistics, Statistics and Computing/Statistics Programs