Manuscript Topics

Reliability inference is a broad concept of mathematics. It plays a crucial role in ensuring a desired range of qualities for items or systems that are usually subject to random phenomena during manufacturing. Mathematical processes cover, for example, building mathematical modeling and methods directed to the problems in estimating mean lifetime and life distribution, predicting the survival and hazard functions, and more.  Due to technological advances, the products are getting more complicated with multicomponent and lifetime prolonged. Hence, dealing with reliability inference has increased the need for innovative concepts and skills in mathematics.  Articles concerning recent novel mathematical developments in reliability inferences with, but not limited to, the following model applications are particularly welcome.

• Competing risk models
• Copula regression models for competing risks
• The modeling via stochastic processes
• Accelerated life tests of any kind
• Progressive censorings of any kind
• Degradation modeling
• Partially observed failure causes models

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