Mleand Bayes Estimator of Utilization Factor in Power Supply Queuing Model
Main Article Content
Abstract
In this paper,we have been obtainedMLE and Bayes Estimator of utilization factor in Power Supplyqueuing model based on requirement of power forthe number of customers at various sampled time points. We have been checked the consistency of maximum likelihood estimator of utilization factor and find the confidence interval for expected MLE of it.Bayes estimators of utilization factor havealso been obtained.We also derive the expression for Expectation of MLE of ρ, Bayes estimate of ρ under squared error loss function. Fordifferent choices of hyper-parametersthe minimum posterior risk of this Bayes estimator has also been obtained numerically by using R software packages.
Downloads
Metrics
Article Details
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.