Publication
Title
New regression model with four regression structures and computational aspects
Author
Abstract
A new general class of exponentiated sinh Cauchy regression models for location, scale, and shape parameters is introduced and studied. It may be applied to censored data and used more effectively in survival analysis when compared with the usual models. For censored data, we employ a frequentist analysis for the parameters of the proposed model. Further, for different parameter settings, sample sizes, and censoring percentages, various simulations are performed. The extended regression model is very useful for the analysis of real data and could give more adequate fits than other special regression models.
Language
English
Source (journal)
Communications in statistics : simulation and computation. - New York, N.Y.
Publication
New York, N.Y. : 2018
ISSN
0361-0918
Volume/pages
47 :7 (2018) , p. 1940-1962
ISI
000438753900005
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 02.08.2018
Last edited 20.09.2021
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