Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/27427
Title: | New regression model with four regression structures and computational aspects | Authors: | Ramires, Thiago G. Ortega, Edwin M. M. Cordeiro, Gauss M. Paula, Gilberto A. HENS, Niel |
Issue Date: | 2018 | Publisher: | TAYLOR & FRANCIS INC | Source: | COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 47(7), p. 1940-1962 | 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. | Notes: | [Ramires, Thiago G.; Ortega, Edwin M. M.] Univ Sao Paulo, Dept Exact Sci, BR-03178200 Sao Paulo, Brazil. [Ramires, Thiago G.; Hens, Niel] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat I Biost, Hasselt, Belgium. [Cordeiro, Gauss M.] Univ Fed Pernambuco, Dept Stat, Recife, PE, Brazil. [Paula, Gilberto A.] Univ Sao Paulo, Dept Stat, Inst Math & Stat, Sao Paulo, Brazil. [Hens, Niel] Univ Antwerp, Vaccine & Infect Dis Inst, Ctr Hlth Econ Res & Modelling Infect Dis, Antwerp, Belgium. | Keywords: | Diagnostics analysis; Exponentiated sinh Cauchy regression model; GAMLSS; Survival analysis;Diagnostics analysis; Exponentiated sinh Cauchy regression model; GAMLSS; Survival analysis | Document URI: | http://hdl.handle.net/1942/27427 | ISSN: | 0361-0918 | e-ISSN: | 1532-4141 | DOI: | 10.1080/03610918.2017.1332212 | ISI #: | 000438753900005 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ramires2017.pdf | Peer-reviewed author version | 1.19 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.