@article{
 title = {A new compound frechet distribution for modeling breaking stress and strengths data},
 type = {article},
 year = {2019},
 keywords = {Breaking stress,Fréchet distribution,Generating function,Maximum likelihood,Strengths data,Zero-truncated poisson distribution},
 pages = {1017-1035},
 volume = {15},
 websites = {http://www.pjsor.com/index.php/pjsor/article/view/3078},
 month = {12},
 day = {1},
 id = {7af6923f-3c25-353b-9e67-ebb26868b106},
 created = {2021-08-31T15:29:45.950Z},
 accessed = {2020-01-10},
 file_attached = {true},
 profile_id = {49efd9d1-b84a-3562-b8db-36e64ac7ba81},
 last_modified = {2021-08-31T15:39:39.468Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Yousof2019},
 folder_uuids = {4cfcf1ef-e8a1-481b-9768-92f271f79e14},
 private_publication = {false},
 abstract = {A new useful version of the Frechet 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 Frechet models in modeling two real data sets.},
 bibtype = {article},
 author = {Yousof, Haitham M. and Butt, Nadeem Shafique and Alotaibi, Refah Mohammed and Rezk, H. and Alomani, Ghadah A. and Ibrahim, Mohamed},
 doi = {10.18187/pjsor.v15i4.3078},
 journal = {Pakistan Journal of Statistics and Operation Research},
 number = {4}
}

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