In this article, the parametric bootstrap estimation of the reliability coefficient by repeated measurement is proposed. At first, a hierarchical model for calculating reliability from repeated measurement is presented. Next, the parametric bootstrap method for calculating the precision of estimation of the reliability coefficient is presented. The validity of applying the bootstrap method to this problem is examined by a simulation study. The result of the simulation study tells that the calculated bootstrap confidence interval tends to underestimate the statistical power, while the type I error is controlled
Industrial recurrent event data where an event of interest can be observed more than once in a singl...
The paper deals with the problem, how many bootstrap replications have to be done at estimation of b...
[[abstract]]Often when dealing with complex data structures there is no unique way to bootstrap. If ...
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...
Three different bootstrap confidence intervals (CIs) for coefficient omega were investigated. The CI...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
This study focuses on the generalization of several software reliability models and the derivation o...
Reliability is the probability of satisfying the target performance. Reliability analysis is applyin...
Application of bootstrap method in conservative estimation of reliability with limited sample
Three different bootstrap confidence intervals (CIs) for coefficient omega were investigated. The CI...
Reliability can be studied in a generalized way using repeated measurements. Linear mixed models are...
Nonparametric bootstrap inference is developed for the reliability function estimated from censored,...
Occasionally situations arise in which a measurement does not lend itself to such traditional method...
Industrial recurrent event data where an event of interest can be observed more than once in a singl...
The paper deals with the problem, how many bootstrap replications have to be done at estimation of b...
[[abstract]]Often when dealing with complex data structures there is no unique way to bootstrap. If ...
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...
Three different bootstrap confidence intervals (CIs) for coefficient omega were investigated. The CI...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
This paper considers the problem of choosing the number of bootstrap repetitions B for bootstrap sta...
This study focuses on the generalization of several software reliability models and the derivation o...
Reliability is the probability of satisfying the target performance. Reliability analysis is applyin...
Application of bootstrap method in conservative estimation of reliability with limited sample
Three different bootstrap confidence intervals (CIs) for coefficient omega were investigated. The CI...
Reliability can be studied in a generalized way using repeated measurements. Linear mixed models are...
Nonparametric bootstrap inference is developed for the reliability function estimated from censored,...
Occasionally situations arise in which a measurement does not lend itself to such traditional method...
Industrial recurrent event data where an event of interest can be observed more than once in a singl...
The paper deals with the problem, how many bootstrap replications have to be done at estimation of b...
[[abstract]]Often when dealing with complex data structures there is no unique way to bootstrap. If ...