TY - JOUR
T1 - A proposed approach for approximating lower truncated normal cumulative distribution
T2 - application to reliability of used devices
AU - Hamasha, Mohammad M.
AU - Ali, Haneen
AU - Aqlan, Faisal
AU - Ahmed, Abdulaziz
AU - Hamasha, S.
N1 - Publisher Copyright:
© 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
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U2 - 10.1080/23311916.2022.2154000
DO - 10.1080/23311916.2022.2154000
M3 - Article
AN - SCOPUS:85143397361
SN - 2331-1916
VL - 9
JO - Cogent Engineering
JF - Cogent Engineering
IS - 1
M1 - 2154000
ER -