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Springer

Analysis of Doubly Truncated Data : An Introduction

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Product Code: 9789811362408
ISBN13: 9789811362408
Condition: New
$60.77
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.


Author: Achim Dörre, Takeshi Emura
Publisher: Springer
Publication Date: May 22, 2019
Number of Pages: 109 pages
Language: English
Binding: Paperback
ISBN-10: 9811362408
ISBN-13: 9789811362408

Analysis of Doubly Truncated Data : An Introduction

$60.77
 
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.


Author: Achim Dörre, Takeshi Emura
Publisher: Springer
Publication Date: May 22, 2019
Number of Pages: 109 pages
Language: English
Binding: Paperback
ISBN-10: 9811362408
ISBN-13: 9789811362408
 

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