Analysis of Doubly Truncated Data - An Introduction (Paperback, 1st ed. 2019)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	JSS Research Series in Statistics
Release date:	May 2019
First published:	2019
Authors:	Achim Doerre • Takeshi Emura
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	109
Edition:	1st ed. 2019
ISBN-13:	978-981-13-6240-8
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	981-13-6240-8
Barcode:	9789811362408

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