Using simulation to estimate parameters and reliability function for extreme value distribution

Author

Akram, Makki

Source

Journal of Economics and Administrative Science

Issue

Vol. 16, Issue 59 (30 Sep. 2010), pp.1-11, 11 p.

Publisher

University of Baghdad College of Administration and Economics

Publication Date

2010-09-30

Country of Publication

Iraq

No. of Pages

11

Main Subjects

Mathematics

Abstract AR

يتضمن هذه البحث تقدير معلمتي القياس و الموقع (,ɤθ) و الدالة المعولية (t)R لتوزيع القيمة المتطرفة (EXV) بواسطة طريقتين وهما :- - طريقة الإمكان الأعظم (MILE).

- طريقة العزوم الاحتمالية المرجحة (PWM).

حيث تم توليد بيانات عند حجوم عينات مختلفة (n=10, 25, 50, 100), و أعطيت قيم افتراضية أولية المعولية عند الزمنين (0.5,1,1.5 = θ) و (3 = ɤ ), و كررت تجارب المحاكاة (Rp = 1000), و قدرت دالة المعولية عند الزمنين (T = 2,5), و من ثم اعتماد المقياس الاحصائي متوسط مربع الخطأ Mean Square (Error (MSE للمقارنة بين نتائج المقدرات, و لخصت جميع النتائج في جداول خاصة أعدت لهذا الغرض, و لوحظ أن مقدرات (MILE) كانت أفضل من (PWM) لمعظم الحالات المدروسة.

Abstract EN

This study includes Estimating scale parameter, location parameter and reliability function for Extreme Value (EXV) distribution by two methods, namely: - - Maximum Likelihood Method (MLE).

- Probability Weighted Moments Method (PWM).

Used simulations to generate the required samples to estimate the parameters and reliability function of different sizes(n = 10,25,50,100), and give real values for the parameters are and, replicate the simulation experiments (RP=1000), and estimated the function reliability at two times (T = 2,5), adopted mean square error for comparison between the results of estimators, and summarized all the results in tables especially prepared for this purpose, An analysis of the results in the tables it becomes that:- Estimators of (MLE) better than estimators of (PWM) in most of the cases studied in this research.

American Psychological Association (APA)

Akram, Makki. 2010. Using simulation to estimate parameters and reliability function for extreme value distribution. Journal of Economics and Administrative Science،Vol. 16, no. 59, pp.1-11.
https://search.emarefa.net/detail/BIM-257290

Modern Language Association (MLA)

Akram, Makki. Using simulation to estimate parameters and reliability function for extreme value distribution. Journal of Economics and Administrative Science Vol. 16, no. 59 (2010), pp.1-11.
https://search.emarefa.net/detail/BIM-257290

American Medical Association (AMA)

Akram, Makki. Using simulation to estimate parameters and reliability function for extreme value distribution. Journal of Economics and Administrative Science. 2010. Vol. 16, no. 59, pp.1-11.
https://search.emarefa.net/detail/BIM-257290

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 11

Record ID

BIM-257290