A New Log-Logistic Lifetime Model with Mathematical Properties, Copula, Modified Goodness-of-Fit Test for Validation and Real Data Modeling

Autor:	Mahmoud M. Mansour, Mohamed Ibrahim, Khaoula Aidi, Nadeem Shafique Butt, Mir Masoom Ali, Haitham M. Yousof, Mohamed S. Hamed
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Bagdonavičius-Nikulin Farlie-Gumbel-Morgenstern Clayton Copula censored validation log-logistic distribution Barzilai-Borwein Mathematics QA1-939
Zdroj:	Mathematics, Vol 8, Iss 9, p 1508 (2020)
Druh dokumentu:	article
ISSN:	2227-7390
DOI:	10.3390/math8091508
Popis:	After defining a new log-logistic model and studying its properties, some new bivariate type versions using “Farlie-Gumbel-Morgenstern Copula”, “modified Farlie-Gumbel-Morgenstern Copula”, “Clayton Copula”, and “Renyi’s entropy Copula” are derived. Then, using the Bagdonavicius-Nikulin goodness-of-fit (BN-GOF) test for validation, we proposed a goodness-of-fit test for a new log-logistic model. The modified test is applied for the “right censored” real dataset of survival times. All elements of the modified test are explicitly derived and given. Three real data applications are presented for measuring the flexibility and the importance of the new model under the uncensored scheme. Two other real datasets are analyzed for censored validation.
Databáze:	Directory of Open Access Journals
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