Add to ORKGApplication of bootstrap method in conservative estimation of reliability with limited sample
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
Bootstrapping is a nonparametric approach for evaluating the distribution of a statistic based on ra...
In this paper, we use fixed-width bootstrap confidence intervals based on nonparametric kernal regre...
Reliability is the probability of satisfying the target performance. Reliability analysis is applyin...
In this article, the parametric bootstrap estimation of the reliability coefficient by repeated meas...
Reliability is the probability of satisfying the target performance. Reliability analysis is applyin...
This study focuses on the generalization of several software reliability models and the derivation o...
ASME 2007 International Design Engineering Technical Conferences and Computers and Information in En...
In this article, the parametric bootstrap estimation of the reliability coefficient by repeated meas...
Three different bootstrap confidence intervals (CIs) for coefficient omega were investigated. The CI...
Bootstrapping has gained popularity in different tests of hypotheses as an alternative in using asym...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
The diploma thesis describes the bootstrap method and its applications in the confidence intervals g...
The diploma thesis describes the bootstrap method and its applications in the estimate accuracy stat...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
Bootstrapping is a nonparametric approach for evaluating the distribution of a statistic based on ra...
In this paper, we use fixed-width bootstrap confidence intervals based on nonparametric kernal regre...
Reliability is the probability of satisfying the target performance. Reliability analysis is applyin...
In this article, the parametric bootstrap estimation of the reliability coefficient by repeated meas...
Reliability is the probability of satisfying the target performance. Reliability analysis is applyin...
This study focuses on the generalization of several software reliability models and the derivation o...
ASME 2007 International Design Engineering Technical Conferences and Computers and Information in En...
In this article, the parametric bootstrap estimation of the reliability coefficient by repeated meas...
Three different bootstrap confidence intervals (CIs) for coefficient omega were investigated. The CI...
Bootstrapping has gained popularity in different tests of hypotheses as an alternative in using asym...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
The diploma thesis describes the bootstrap method and its applications in the confidence intervals g...
The diploma thesis describes the bootstrap method and its applications in the estimate accuracy stat...
International audienceThe bootstrap is a technique for performing statistical inference. The underly...
The bootstrap is a method for estimating the distribution of an estimator or test statistic by resam...
Bootstrapping is a nonparametric approach for evaluating the distribution of a statistic based on ra...
In this paper, we use fixed-width bootstrap confidence intervals based on nonparametric kernal regre...