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Estimation of the survival function based on the log-logistic distribution | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 11، دوره 13، شماره 1، خرداد 2022، صفحه 127-141 اصل مقاله (412.72 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.5466 | ||
| نویسندگان | ||
| Amina Ibrahim* ؛ Bayda Atiya Kalaf | ||
| Department of Mathematics, College of Education for pure Sciences, Ibn-Al-Haitham , University of Baghdad, Iraq | ||
| تاریخ دریافت: 20 اسفند 1399، تاریخ بازنگری: 26 فروردین 1400، تاریخ پذیرش: 30 اردیبهشت 1400 | ||
| چکیده | ||
| This paper proposes a new method by hybrid Simplex Downhill Algorithm with Moment Method (SMOM) to estimate the parameters of Log-Logistic distribution based on Survival functions. Simulation is used to compare the suggested methods with two classical methods (Maximum Likelihood Estimator and with Moment Method). The results demonstrate that SMOM was efficient than the maximum likelihood Estimator and Moment method based on Mean Square Error (MSE). | ||
| کلیدواژه‌ها | ||
| hybrid Simplex Downhill Algorithm؛ Log-Logistic distribution؛ Mean Square Error | ||
| مراجع | ||
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