In this article, the probability of disaster is studied when the strength of the items follows power function distribution and the stress of the manufactured items/devices follows OGE-G distribution. In order to study the probability of disaster, a relationship between the parameters of OGE-G and power function distribution is established through the reliability measure P = Pr(Y \u3e X). Finally, through the relationship among the parameters involved in the model is used to get the optimum cost function when the cost function is linear in terms of parameters
Includes bibliographical references (leaves 101-106)A primary objective of this research is to analy...
Includes bibliographical references (leaves 101-106)A primary objective of this research is to analy...
The exponential and Rayleigh are the two most commonly used distributions for analyzing lifetime dat...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
This article considers risk models related to disasters of complex engineering systems. It is propos...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
Reliability and survival analysis is important in lifetimes of the units in an experiment which dep...
The importance of statistical distributions in describing and predicting real world events cannot be...
It is necessary to develop dynamic reliability models when considering strength degradation of mecha...
This paper deals with the estimation of Stress Strength reliability, R=P(Y \u3c X) when X and Y are ...
Includes bibliographical references (leaves 101-106)A primary objective of this research is to analy...
Includes bibliographical references (leaves 101-106)A primary objective of this research is to analy...
Includes bibliographical references (leaves 101-106)A primary objective of this research is to analy...
The exponential and Rayleigh are the two most commonly used distributions for analyzing lifetime dat...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
This article considers risk models related to disasters of complex engineering systems. It is propos...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
Reliability and survival analysis is important in lifetimes of the units in an experiment which dep...
The importance of statistical distributions in describing and predicting real world events cannot be...
It is necessary to develop dynamic reliability models when considering strength degradation of mecha...
This paper deals with the estimation of Stress Strength reliability, R=P(Y \u3c X) when X and Y are ...
Includes bibliographical references (leaves 101-106)A primary objective of this research is to analy...
Includes bibliographical references (leaves 101-106)A primary objective of this research is to analy...
Includes bibliographical references (leaves 101-106)A primary objective of this research is to analy...
The exponential and Rayleigh are the two most commonly used distributions for analyzing lifetime dat...