@article{
 title = {Extended Weibull Burr XII Distribution: Properties and Applications},
 type = {article},
 year = {2019},
 identifiers = {[object Object]},
 keywords = {Burr XII Distribution,Generating Function,Maximum Likelihood,Moments.},
 pages = {891-903},
 volume = {15},
 websites = {http://www.pjsor.com/index.php/pjsor/article/view/2731},
 month = {12},
 day = {1},
 id = {a79d49c0-bea6-357d-b463-c35d8c37348c},
 created = {2020-09-18T15:01:44.124Z},
 accessed = {2020-01-10},
 file_attached = {false},
 profile_id = {49efd9d1-b84a-3562-b8db-36e64ac7ba81},
 last_modified = {2021-03-09T12:05:17.813Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 citation_key = {Raya2019},
 folder_uuids = {4cfcf1ef-e8a1-481b-9768-92f271f79e14},
 private_publication = {false},
 abstract = {A new distribution called the Weibull Generalized Burr XII distribution is introduced along with simple physical motivation. The new distribution includes fourteen sub-models, seven of them are new. The new model can be used in modeling bimodal data sets. Set of its properties are derived in details. Two applications are provided to illustrate the importance of the new model. The new model is better that other competitive models via two applications. The method of maximum likelihood is used to estimate the unknown parameters.},
 bibtype = {article},
 author = {Raya, Mohamed and Raya, Mohamed Abo and Butt, Nadeem Shafique},
 journal = {Pakistan Journal of Statistics and Operation Research},
 number = {4}
}

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