A stress-strength model is concerned with the statistical problem of evaluating the reliability parameter R = P(X <Y ), where X and Y are taken to be independent random variables. Classical likelihood based procedures for inference on R are available, but it is well-known that they can be inaccurate when the sample size is small, in particular in the presence of many unknown parameters. In this paper, we discuss and apply higher-order likelihood based procedures to obtain accurate confidence intervals for R. The accuracy of the proposed methodology is illustrated by numerical studies
In this paper, we discuss the problem of estimating reliabil-ity (R) of a component based on maximum...
none2noThe stress-strength model is considered in the case of skew-normal variates. Some exact proba...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
A stress-strength model is concerned with the statistical problem of evaluating the reliability para...
We address the problem of robust inference about the stress\u2013strength reliability parameter R = ...
The stress-strength reliability , where and are independent continuous random variables, has obtaine...
Stress-strength reliability problems arise frequently in applied statistics and related fields. Ofte...
International audienceIn this paper we propose some procedures to get confidence intervals for the r...
This article considers the problem of testing and interval estimation of the reliability parameter P...
In this paper, inference for a multicomponent stress–strength (MSS) model is studied under censored ...
In this paper some procedures for building confidence intervals for the reliability in stress-streng...
In this paper, we propose an estimator based on maximum likelihood estimates(MLEs) for reliability w...
In this paper, the estimation of R = P [Y \u3c X], namely Stress- Strength model is studied when bot...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
The problem considered is interval estimation of the stress- strength reliability R = P(X<Y) wher...
In this paper, we discuss the problem of estimating reliabil-ity (R) of a component based on maximum...
none2noThe stress-strength model is considered in the case of skew-normal variates. Some exact proba...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
A stress-strength model is concerned with the statistical problem of evaluating the reliability para...
We address the problem of robust inference about the stress\u2013strength reliability parameter R = ...
The stress-strength reliability , where and are independent continuous random variables, has obtaine...
Stress-strength reliability problems arise frequently in applied statistics and related fields. Ofte...
International audienceIn this paper we propose some procedures to get confidence intervals for the r...
This article considers the problem of testing and interval estimation of the reliability parameter P...
In this paper, inference for a multicomponent stress–strength (MSS) model is studied under censored ...
In this paper some procedures for building confidence intervals for the reliability in stress-streng...
In this paper, we propose an estimator based on maximum likelihood estimates(MLEs) for reliability w...
In this paper, the estimation of R = P [Y \u3c X], namely Stress- Strength model is studied when bot...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...
The problem considered is interval estimation of the stress- strength reliability R = P(X<Y) wher...
In this paper, we discuss the problem of estimating reliabil-ity (R) of a component based on maximum...
none2noThe stress-strength model is considered in the case of skew-normal variates. Some exact proba...
In this paper, an inference on stress-strength reliability model is introduced in case of the expone...