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Title: | A bimodal flexible distribution for lifetime data | Authors: | Ramires, Thiago G. Ortega, Edwin M. M. Cordeiro, Gauss M. HENS, Niel |
Issue Date: | 2016 | Publisher: | TAYLOR & FRANCIS LTD | Source: | JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 86(12), p. 2450-2470 | Abstract: | A four-parameter extended bimodal lifetime model called the exponentiated log-sinh Cauchy distribution is proposed. It extends the log-sinh Cauchy and folded Cauchy distributions. We derive some of its mathematical properties including explicit expressions for the ordinary moments and generating and quantile functions. The method of maximum likelihood is used to estimate the model parameters. We implement the fit of the model in the GAMLSS package and provide the codes. The flexibility of the model is illustrated by means of three real data sets. | Notes: | [Ramires, Thiago G.; Ortega, Edwin M. M.] Univ Sao Paulo, Dept Exact Sci, Sao Paulo, Brazil. [Cordeiro, Gauss M.] Univ Fed Pernambuco, Dept Stat, Recife, PE, Brazil. [Hens, Niel] Univ Hasselt, Interuniv Inst Biostat & Stat Bioinformat Biostat, Hasselt, Belgium. [Hens, Niel] Univ Antwerp, Ctr Hlth Econ Res & Modelling Infect Dis, Vaccine & Infect Dis Inst, B-2020 Antwerp, Belgium. | Keywords: | bi-modality; exponentiated sinh Cauchy distribution; GAMLSS; lifetime distribution;Bi-modality; exponentiated sinh Cauchy distribution; GAMLSS; lifetime distribution | Document URI: | http://hdl.handle.net/1942/22560 | ISSN: | 0094-9655 | e-ISSN: | 1563-5163 | DOI: | 10.1080/00949655.2015.1115047 | ISI #: | 000378717700013 | Rights: | © 2015 Taylor & Francis | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2017 |
Appears in Collections: | Research publications |
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bimodal.pdf Restricted Access | Published version | 2.52 MB | Adobe PDF | View/Open Request a copy |
A bimodal flexible distrubtion for lifetime data.pdf | Peer-reviewed author version | 2.39 MB | Adobe PDF | View/Open |
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