Using approximation non-bayesian computation with fuzzy data to estimation inverse weibull parameters and reliability function

المؤلفون المشاركون

al-Nur, Nadiyah Hashim
al-Sultani, Shuruq A. K.

المصدر

مجلة ابن الهيثم للعلوم الصرفة و التطبيقية

الناشر

جامعة بغداد كلية التربية ابن الهيثم

تاريخ النشر

2017-12-31

دولة النشر

العراق

عدد الصفحات

14

التخصصات الرئيسية

الرياضيات

الملخص الإنجليزي

In real situations all observations and measurements are not exact numbers but more or less non-exact, also called fuzzy.

So, in this paper, we use approximate non-Bayesian computational methods to estimate inverse Weibull parameters and reliability function with fuzzy data.

The maximum likelihood and moment estimations are obtained as non-Bayesian estimation.

The maximum likelihood estimators have been derived numerically based on two iterative techniques namely “Newton-Raphson” and the “Expectation-Maximization” techniques.

In addition, we provide compared numerically through Monte-Carlo simulation study to obtained estimates of the parameters and reliability function in terms of their mean squared error values and integrated mean squared error values respectively.

نوع البيانات

أوراق مؤتمرات

رقم السجل

BIM-851614

• APA
• MLA
• AMA