New robust estimation in compound exponential weibull-poisson distribution for both contaminated and non-contaminated data

Other Title(s)

مقدر حصين جديد لتوزيع بواسون–و يبل المركب في حالة البيانات الملوثة و الغير ملوثة

Author

al-Duri, Intisar Uraybi Fadam

Source

Journal of Economics and Administrative Science

Issue

Vol. 24, Issue 106 (31 Oct. 2018), pp.30-48, 19 p.

Publisher

University of Baghdad College of Administration and Economics

Publication Date

2018-10-31

Country of Publication

Iraq

No. of Pages

19

Main Subjects

Economics & Business Administration

Abstract EN

The research Compared two methods for estimating fourparametersof the compound exponential Weibull - Poisson distribution which are the maximum likelihood method and the Downhill Simplex algorithm.

Depending on two data cases, the first one assumed the original data (Non-polluting), while the second one assumeddata contamination.

Simulation experimentswere conducted for different sample sizes and initial values of parameters and under different levels of contamination.

Downhill Simplex algorithm was found to be the best method for in the estimation of the parameters, the probability function and the reliability function of the compound distribution in cases of natural and contaminateddata.

American Psychological Association (APA)

al-Duri, Intisar Uraybi Fadam. 2018. New robust estimation in compound exponential weibull-poisson distribution for both contaminated and non-contaminated data. Journal of Economics and Administrative Science،Vol. 24, no. 106, pp.30-48.
https://search.emarefa.net/detail/BIM-833403

Modern Language Association (MLA)

al-Duri, Intisar Uraybi Fadam. New robust estimation in compound exponential weibull-poisson distribution for both contaminated and non-contaminated data. Journal of Economics and Administrative Science Vol. 24, no. 106 (2018), pp.30-48.
https://search.emarefa.net/detail/BIM-833403

American Medical Association (AMA)

al-Duri, Intisar Uraybi Fadam. New robust estimation in compound exponential weibull-poisson distribution for both contaminated and non-contaminated data. Journal of Economics and Administrative Science. 2018. Vol. 24, no. 106, pp.30-48.
https://search.emarefa.net/detail/BIM-833403

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 46-47

Record ID

BIM-833403