the generalized exponential distribution as a lifetime model under different loss functions

Clicks: 152
ID: 257849
2009
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #251 of 292 articles by views in Proceedings of the National Academy of Sciences of the United States of America

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 292 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Bayes estimates of the unknown parameter and the reliability function for the generalized exponential model are derived. Bayes estimates are obtained under various losses such as the squared error, the absolute error, the squared log error, and the entropy loss functions. Monte Carlo simulations are presented to compare the Bayes estimates and the maximum likelihood estimates of the unknown parameter and the reliability function.
Reference Key
asgharzadeh2009datathe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;A Asgharzadeh;R Rezaei
Journal Proceedings of the National Academy of Sciences of the United States of America
Year 2009
DOI
10.2481/dsj.008-010
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.