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The complementary odd Weibull power series distribution: properties and applications | ||
| AUT Journal of Mathematics and Computing | ||
| مقاله 6، دوره 1، شماره 1، اردیبهشت 2020، صفحه 57-67 اصل مقاله (170.96 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22060/ajmc.2019.15207.1015 | ||
| نویسنده | ||
| Mehdi Goldoust* | ||
| Department of Mathematics, Behbahan Branch, Islamic Azad University, Behbahan, Iran | ||
| چکیده | ||
| In this paper, a new four-parameters model called the complementary odd Weibull power series (COWPS) distribution is defined and its properties are explored. This new distribution exhibits several new and well-known hazard rate shapes such as increasing, decreasing, bathtub-shaped and J-shape hazard rates. Some of its mathematical properties are obtained including moments, quantiles reliability, and moment generating functions. The maximum likelihood estimation method is used to estimate the vector of parameters. A simulation study is presented to investigate the performance of the estimators. Finally, The usefulness of the model has been demonstrated by applying it to a real-life dataset. | ||
| کلیدواژه‌ها | ||
| Odd Weibull distribution؛ Power series distribution؛ Compound distribution؛ Maximum likelihood estimation | ||
| مراجع | ||
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