@article{
 title = {A new log-logistic lifetime model with mathematical properties, copula, modified goodness-of-fit test for validation and real data modeling},
 type = {article},
 year = {2020},
 keywords = {Bagdonavičius-nikulin,Barzilai-borwein,Burr XII distribution,Censored maximum likelihood,Censored validation,Clayton copula,Farlie-gumbel-morgenstern,Log-logistic distribution},
 pages = {1508},
 volume = {8},
 websites = {https://www.mdpi.com/2227-7390/8/9/1508},
 publisher = {Multidisciplinary Digital Publishing Institute},
 id = {33c0cc21-89b0-3134-9fcc-9b4a7b3dad4d},
 created = {2020-09-18T14:18:41.869Z},
 file_attached = {true},
 profile_id = {49efd9d1-b84a-3562-b8db-36e64ac7ba81},
 last_modified = {2021-08-31T15:32:46.090Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Mansour2020},
 source_type = {article},
 folder_uuids = {4cfcf1ef-e8a1-481b-9768-92f271f79e14},
 private_publication = {false},
 abstract = {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.},
 bibtype = {article},
 author = {Mansour, Mahmoud M. and Ibrahim, Mohamed and Aidi, Khaoula and Butt, Nadeem Shafique and Ali, Mir Masoom and Yousof, Haitham M. and Hamed, Mohamed S.},
 doi = {10.3390/math8091508},
 journal = {Mathematics},
 number = {9}
}

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