@article{
 title = {A New Compound Fréchet Distribution for Modeling Breaking Stress and Strengths Data},
 type = {article},
 year = {2019},
 identifiers = {[object Object]},
 keywords = {Breaking Stress,Fréchet Distribution,Generating Function,Maximum Likelihood,Strengths Data.,Truncated Poisson Distribution,Zero},
 pages = {1017-1035},
 volume = {15},
 websites = {http://www.pjsor.com/index.php/pjsor/article/view/3078},
 month = {12},
 day = {1},
 id = {2c114b26-053f-3efd-8df8-4c319f47ba82},
 created = {2020-09-18T15:01:44.027Z},
 accessed = {2020-01-10},
 file_attached = {false},
 profile_id = {49efd9d1-b84a-3562-b8db-36e64ac7ba81},
 last_modified = {2021-03-09T12:05:12.842Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 citation_key = {Yousof2019},
 folder_uuids = {4cfcf1ef-e8a1-481b-9768-92f271f79e14},
 private_publication = {false},
 abstract = {A new useful version of the Fréchet model is introduced and studied. Some of its properties are derived. The method of maximum likelihood is used for estimating the unknown parameter via two real data applications. The new version is much better than other important competitive Fréchet models in modeling two real data sets.},
 bibtype = {article},
 author = {Yousof, Haitham and Yousof, Haitham M. and Butt, Nadeem Shafique and Alotaibi, Refah Mohammed and H., Rezk and Alomani, Ghadah A. and Ibrahim, Mohamed},
 journal = {Pakistan Journal of Statistics and Operation Research},
 number = {4}
}

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