Testing Reliability: Factorial Design with Data from A Log-EpsilonSkew-Normal Distribution

Bahr Kadhim Mohammed (baherm@yahoo.com), Monica Roman (monica.roman@csie.ase.ro), Meshal Harbi Odah (m.algelidh@gmail.com) and Ali SadigMohommed Bager (nader.ali62@yahoo.com)
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Bahr Kadhim Mohammed: The Bucharest University of Economic Studies and University of Al-Qadisiyah,Irak
Meshal Harbi Odah: The Bucharest University of Economic Studies and Muthanna University, Irak
Ali SadigMohommed Bager: The Bucharest University of Economic Studies and Muthanna University, Irak

ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2017, vol. 51, issue 3, 143-160

Abstract: Experimental designs are among the most popular methods applied forthequality design or for life testing of products, in orderto improve products’ reliability. This work develops an integrated methodology for improving quality and reliability when the failure time (t) of the product as a response variable is distributed according to a log-epsilon-skew-normal (LESN) distribution. Two factorial design of experiments (𝟐𝟐) is used to estimate and test the significance of the ANOVA model, based on the likelihood ratio test (LRT). A simulation study and a study with real data are conducted to investigate the performance of the proposed method and the research findings show that the proposed method performs well.

Keywords: Design of experiments; reliability; log-epsilon–skew-normal distribution; likelihoodratio test; simulation study. (search for similar items in EconPapers)
JEL-codes: C14 C15 C90 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:cys:ecocyb:v:50:y:2017:i:3:p:143-160

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