In the present study paper, a failure (hazard) rate function approximates the probability distribution for the linear combination of a random variable considered a highly complex model. The saddlepoint approximation approach is used to approximate the probability mass function and the cumulative distribution function to derive the approximation of the failure (hazard) rate with a high level of accuracy. The superior performance of this method is shown by numerical simulations and comparison with the performance of other approximation methods
Thesis (Ph. D.)--University of Washington, 1996Higher order asymptotic methods based on the saddlepo...
The saddlepoint approximation as developed by Daniels [3] is an extremely accurate method for approx...
The saddle-point approximation is a highly accurate approximation of the distribution of a random va...
In the approximation methods of reliability analysis, nonnormal random variables are transformed int...
If the state of a component can be predicted by a limit-state function, the First and Second Order R...
System reliability is usually estimated through component reliability, which is commonly computed by...
The saddlepoint method provides accurate approximations for the distributions of many test statistic...
A large deviations type approximation to the probability of ruin within a finite time for the compo...
In this article we discuss uniformly most powerful unbiased tests for testing exponentiality against...
The assumption of a linear increasing failure rate uniquely determines a life distribution which has...
Copyright © 2006 SAE International Response surface methods which approximate the actual performance...
We develop a saddlepoint-based method and several generalized Bartholomew methods for generating con...
AbstractThis paper presents a new univariate method employing the most probable point as the referen...
A saddlepoint approximation is provided for the distribution function of one M statistic conditional...
Abstract—Sometime it is difficult to determine the exact reliability for complex systems in analytic...
Thesis (Ph. D.)--University of Washington, 1996Higher order asymptotic methods based on the saddlepo...
The saddlepoint approximation as developed by Daniels [3] is an extremely accurate method for approx...
The saddle-point approximation is a highly accurate approximation of the distribution of a random va...
In the approximation methods of reliability analysis, nonnormal random variables are transformed int...
If the state of a component can be predicted by a limit-state function, the First and Second Order R...
System reliability is usually estimated through component reliability, which is commonly computed by...
The saddlepoint method provides accurate approximations for the distributions of many test statistic...
A large deviations type approximation to the probability of ruin within a finite time for the compo...
In this article we discuss uniformly most powerful unbiased tests for testing exponentiality against...
The assumption of a linear increasing failure rate uniquely determines a life distribution which has...
Copyright © 2006 SAE International Response surface methods which approximate the actual performance...
We develop a saddlepoint-based method and several generalized Bartholomew methods for generating con...
AbstractThis paper presents a new univariate method employing the most probable point as the referen...
A saddlepoint approximation is provided for the distribution function of one M statistic conditional...
Abstract—Sometime it is difficult to determine the exact reliability for complex systems in analytic...
Thesis (Ph. D.)--University of Washington, 1996Higher order asymptotic methods based on the saddlepo...
The saddlepoint approximation as developed by Daniels [3] is an extremely accurate method for approx...
The saddle-point approximation is a highly accurate approximation of the distribution of a random va...