A proposed approach for approximating lower truncated normal cumulative distribution: application to reliability of used devices

Mohammad M. Hamasha, Haneen Ali, Faisal Aqlan, Abdulaziz Ahmed, S. Hamasha

Research output: Contribution to journalArticlepeer-review

Abstract

The distribution of a normally distributed hardware is changed to a lower truncated normal distribution after it has been in service for a certain period. Therefore, it is necessary to approximate this type of distribution with simple, applicable and accurate models. In the current paper, a model is proposed to represent the lower truncated normal distribution very accurately. To evaluate the model’s accuracy, the truncation is used up to 50% of the original domain from left. The results show an increase in the model maximum deviation from true lower truncated normal distribution with the truncation percentage. At 50% truncation, the maximum deviation is 0.0000212. Besides being very accurate, the model is viable and simple, and it can be used manually, or with the help of a spreadsheet.

Original languageEnglish (US)
Article number2154000
JournalCogent Engineering
Volume9
Issue number1
DOIs
StatePublished - 2022

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Chemical Engineering
  • General Engineering

Fingerprint

Dive into the research topics of 'A proposed approach for approximating lower truncated normal cumulative distribution: application to reliability of used devices'. Together they form a unique fingerprint.

Cite this