Analysis of Doubly Truncated Data: An Introduction

✍ Scribed by Achim Dörre, Takeshi Emura

Publisher: Springer Singapore
Year: 2019
Tongue: English
Leaves: 123
Series: SpringerBriefs in Statistics
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter ....Pages i-xvi
Introduction to Double-Truncation (Achim Dörre, Takeshi Emura)....Pages 1-18
Parametric Estimation Under Exponential Family (Achim Dörre, Takeshi Emura)....Pages 19-40
Bayesian Inference for Doubly Truncated Data (Achim Dörre, Takeshi Emura)....Pages 41-62
Nonparametric Inference for Double-Truncation (Achim Dörre, Takeshi Emura)....Pages 63-74
Linear Regression Under Random Double-Truncation (Achim Dörre, Takeshi Emura)....Pages 75-86
Back Matter ....Pages 87-109

✦ Subjects

Statistics; Statistical Theory and Methods; Applied Statistics; Biostatistics; Statistics and Computing/Statistics Programs

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