Analysis of Doubly Truncated Data

An Introduction de

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Éditeur :

Springer


Collection :

SpringerBriefs in Statistics

Paru le : 2019-05-13

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Description


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.
Pages
109 pages
Collection
SpringerBriefs in Statistics
Parution
2019-05-13
Marque
Springer
EAN papier
9789811362408
EAN PDF
9789811362415

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
3236 Ko
Prix
52,74 €
EAN EPUB
9789811362415

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
10
Taille du fichier
8704 Ko
Prix
52,74 €