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Characterizations of Marshall-Olkin Discrete Reduced Modified Weibull Distribution

Received: 29 August 2018     Accepted: 22 April 2019     Published: 20 May 2019
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Abstract

Characterizing a distribution is an important problem in applied sciences, where an investigator is vitally interested to know if their model follows the right distribution. To this end, the investigator relies on conditions under which their model would follow specifically chosen distribution. Certain characterizations of the Marshall-Olkin discrete reduced modified Weibull distribution are presented to complete, in some way, their work.

Published in International Journal of Statistical Distributions and Applications (Volume 5, Issue 1)
DOI 10.11648/j.ijsd.20190501.11
Page(s) 1-4
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Discrete Marshall-Olkin distribution, Discrete Weibull Distribution, Discrete Distributions, Hazard Function, Characterizations

References
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[9] Gómez-Déniz, E., Another generalization of the geometric distribution, Test, 19, (2010), 399-415.
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[11] Nekoukhou, V. and Bidram, The exponentiated discrete Weibull distribution, SORT, 39, (2015), 127-146.
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[18] Khorashiadzadeh, M., Rezaei, R. A. H. and Mohtashami, B. G. R., Characterizations of life distributions using log-odds rate in discrete aging, Commun. Statist. Theory-Methods, 42, (2012), 76- 87.
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  • APA Style

    Gholamhossein G. Hamedani. (2019). Characterizations of Marshall-Olkin Discrete Reduced Modified Weibull Distribution. International Journal of Statistical Distributions and Applications, 5(1), 1-4. https://doi.org/10.11648/j.ijsd.20190501.11

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    ACS Style

    Gholamhossein G. Hamedani. Characterizations of Marshall-Olkin Discrete Reduced Modified Weibull Distribution. Int. J. Stat. Distrib. Appl. 2019, 5(1), 1-4. doi: 10.11648/j.ijsd.20190501.11

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    AMA Style

    Gholamhossein G. Hamedani. Characterizations of Marshall-Olkin Discrete Reduced Modified Weibull Distribution. Int J Stat Distrib Appl. 2019;5(1):1-4. doi: 10.11648/j.ijsd.20190501.11

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  • @article{10.11648/j.ijsd.20190501.11,
      author = {Gholamhossein G. Hamedani},
      title = {Characterizations of Marshall-Olkin Discrete Reduced Modified Weibull Distribution},
      journal = {International Journal of Statistical Distributions and Applications},
      volume = {5},
      number = {1},
      pages = {1-4},
      doi = {10.11648/j.ijsd.20190501.11},
      url = {https://doi.org/10.11648/j.ijsd.20190501.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsd.20190501.11},
      abstract = {Characterizing a distribution is an important problem in applied sciences, where an investigator is vitally interested to know if their model follows the right distribution. To this end, the investigator relies on conditions under which their model would follow specifically chosen distribution. Certain characterizations of the Marshall-Olkin discrete reduced modified Weibull distribution are presented to complete, in some way, their work.},
     year = {2019}
    }
    

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    T2  - International Journal of Statistical Distributions and Applications
    JF  - International Journal of Statistical Distributions and Applications
    JO  - International Journal of Statistical Distributions and Applications
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    AB  - Characterizing a distribution is an important problem in applied sciences, where an investigator is vitally interested to know if their model follows the right distribution. To this end, the investigator relies on conditions under which their model would follow specifically chosen distribution. Certain characterizations of the Marshall-Olkin discrete reduced modified Weibull distribution are presented to complete, in some way, their work.
    VL  - 5
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Author Information
  • Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, USA

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