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356470

دراسة مقارنه بين التقديرات البيزيه وتقديرات الإمكان الأكبر لمعالم توزيع بيتا ـ معكوس وايبل Comparison Study Between the Maximum Likelihood and Bayesian Estimation for the Beta In

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Last updated: 29 Dec 2024

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Abstract

Abstract The inverse Weibull distribution which was presented by Keller and Kamath (1982), this distribution was derived on the basis of physical considerations of failure of dynamic mechanical components subject to degradation phenomena. The system fails especially when the load pressure exceeds the stress resisting capacity (strength) of the component. A generalization of inverse Weibull distribution referred to as the Beta Inverse Weibull distribution (BIW) which is generated from the logit of beta random variable was introduced  by Khan (2010) as a life time distribution to give more flexibility to the inverse Weibull distribution. The  Bayesian estimators (under the complete linear exponential (LINEX) and general entropy loss functions) and maximum likelihood estimator to the unknown parameters will be introduced. Keywords: Beta Inverse Weibull distribution, Bayesian Estimation, maximum likelihood estimation , (LINEX)   loss function, inverted gamma distribution.

DOI

10.21608/skjaz.2014.356470

Authors

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عبير سيد عبد الرحيم

Last Name

محمد

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Affiliation

مدرس بكلية التجارة بنات- قسم الإحصاء ــ فرع تفهنا الأشراف ــ جامعة الأزهر.

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Volume

52

Article Issue

2

Related Issue

47929

Issue Date

2014-04-01

Receive Date

2024-05-27

Publish Date

2014-04-01

Page Start

379

Page End

396

Print ISSN

2357-0636

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https://skjaz.journals.ekb.eg/article_356470.html

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https://skjaz.journals.ekb.eg/service?article_code=356470

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356,470

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المقالة الأصلية

Type Code

3,070

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Journal

Publication Title

مجلة مركز صالح كامل للإقتصاد الإسلامى بجامعة الأزهر

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https://skjaz.journals.ekb.eg/

MainTitle

دراسة مقارنه بين التقديرات البيزيه وتقديرات الإمكان الأكبر لمعالم توزيع بيتا ـ معكوس وايبل Comparison Study Between the Maximum Likelihood and Bayesian Estimation for the Beta Inverse Wiebull Distribution

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Article

Created At

21 Dec 2024