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
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