Analysis of Doubly Truncated Data : An Introduction

Achim Dörre

ISBN 10: 9811362408 / ISBN 13: 9789811362408

Published by Springer, Springer, 2019

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9789811362408

Bibliographic Details

• Title: Analysis of Doubly Truncated Data : An Introduction
• Publisher: Springer, Springer
• Publication Date: 2019
• Language: English
• ISBN 10: 9811362408
• ISBN 13: 9789811362408
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 8D millimeters 235 millimeters width by 155 millimeters height by 8 millimeters depth
• Weight: 207 grams

About this title

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.

About the Author

Achim Dörre, University of Rostock

 

Takeshi Emura, Chang Gung University