Economic Reliability Test Plans using the Generalized Exponential Distribution

Clicks: 2
ID: 316274
2007
Free PDF
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
Emerging

Ranked #125 of 182 articles by views in Journal of Statistics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 182 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
Sign in to mint
Abstract
Economic Reliability Test Plans (ERTP) are developed assuming that the life time follows the Generalized Exponential Distribution (GED). For a given termination number, sample size and producer’s risk waiting time to terminate the experiment are computed. Comparisons of these reliability plans have been made with reliability plans of the Log-Logistic Distribution (Kantam et al., 2006). On the basis of the Kolmogorov-Smirnov test for both distributions it is found that the reliability plans obtained from GED are more economic in saving cost, energy and time. The results are explained with the help of tables and examples.
Reference Key
imported_1780934425_6a26e7190a79a Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Muhammad Aslam, Muhammad Qaisar Shahbaz
Journal Journal of Statistics
Year 2007
DOI
DOI not found
URL
https://jstat.gcu.edu.pk/index.php/jstat/article/view/143
Keywords Keywords not found

Citations

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

Comments

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