@article{
 title = {On characterizations of McLLoG, ELLoGW, PTHL and k-GE distributions},
 type = {article},
 year = {2018},
 pages = {177-184},
 volume = {14},
 websites = {http://www.pjsor.com/index.php/pjsor/article/view/2263},
 month = {3},
 day = {1},
 id = {fd487033-2360-3cc9-888a-2d0fe93a898a},
 created = {2021-08-31T15:29:45.758Z},
 accessed = {2018-03-12},
 file_attached = {true},
 profile_id = {49efd9d1-b84a-3562-b8db-36e64ac7ba81},
 last_modified = {2021-08-31T15:38:17.809Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Hamedani2018a},
 folder_uuids = {4cfcf1ef-e8a1-481b-9768-92f271f79e14},
 private_publication = {false},
 abstract = {Huang S. and Oluyede (2016), Oluyede et al. (2016), Krishnarani (2016) and Rather and Rather (2017) consider the "McDonald Log-Logistic", the "Exponentiated Log-Logistic Weibull", the "Power Transformation Half-Logistic" and "k-Generalized Exponential" distributions, respectively, and study certain properties and applications of these distributions. The present short note is intended to complete, in some way, the above mentioned works via establishing certain characterizations of these distributions in different directions.},
 bibtype = {article},
 author = {Hamedani, G. G. and But, Nadeem Shafique},
 doi = {10.18187/pjsor.v14i1.2263},
 journal = {Pakistan Journal of Statistics and Operation Research},
 number = {1}
}

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