MKW QRM simulation results for scenario II.

<div><p>The Weibull distribution is an important continuous distribution that is cardinal in reliability analysis and lifetime modeling. On the other hand, it has several limitations for practical applications, such as modeling lifetime scenarios with non-monotonic failure rates. However...

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Bibliographic Details
Main Author:	Amani Abdullah Alahmadi (20598207) (author)
Other Authors:	Olayan Albalawi (9532408) (author), Rana H. Khashab (20598210) (author), Arne Johannssen (20598213) (author), Suleman Nasiru (19666957) (author), Sanaa Mohammed Almarzouki (19666951) (author), Mohammed Elgarhy (8605035) (author)
Published:	2025
Subjects:	Biotechnology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified superior match compared r &# 233 newly suggested model monotonic failure rates better risk management two different sets simulation results show moment generating function important continuous distribution mkwd model offers mkwd )&# 8212 model lifetime scenarios modeling lifetime scenarios lifetime scenarios weibull distribution quantile function lifetime modeling different estimators best results zenga curves xlink "> various measures various domains tsallis entropy statistical features several limitations real data practical applications order statistics nyi entropy informed decision exponential entropy current distributions critical factors charvat entropy arimoto entropy accurate predictions accurate modeling
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MKW QRM simulation results for scenario II.

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