313835

Bayes Prediction for the Number of Failures in Mixed Exponential Population

Article

Last updated: 27 Apr 2025

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Abstract

This paper deals with the problem of predicting the number of components which fail in a future time interval in the case where the failure population is a mixture of two exponential distributions and sampling is censored at a predetermined test termination time. The joint predictive distribution of the number of failures from each sub-population and the corresponding marginal distributions are derived. Both the one-sample and the two-sample prediction problems have been considered. Sample sizes are taken as random variables having the Poisson distribution. Numerical examples are provided to illustrate the predictive procedures.
 

DOI

10.21608/esju.2000.313835

Keywords

Time, Censored Life Test Data, One, two, Sample Prediction, Variable Sample Size, Trinomial Distribution

Authors

First Name

D.

Last Name

Rashwan

MiddleName

R.

Affiliation

Derartment of Mathematical Statistics, Institute of Statistical Studies & Research

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Orcid

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Volume

44

Article Issue

2

Related Issue

43032

Issue Date

2000-12-01

Publish Date

2000-12-01

Page Start

193

Page End

218

Print ISSN

0542-1748

Online ISSN

2786-0086

Link

https://esju.journals.ekb.eg/article_313835.html

Detail API

http://journals.ekb.eg?_action=service&article_code=313835

Order

7

Type

Original Article

Type Code

1,914

Publication Type

Journal

Publication Title

The Egyptian Statistical Journal

Publication Link

https://esju.journals.ekb.eg/

MainTitle

Bayes Prediction for the Number of Failures in Mixed Exponential Population

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Article

Created At

28 Dec 2024