Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-gamma class of priors for the unknown mean and precision of normal population of failure times, have been investigated. The effect of a moderately non-normal prior for Martz and Waller data has been noted to be insignificantly small
Especially when facing reliability data with limited information (e.g., a small number of failures),...
This paper aims to study the sensitivity of Bayes estimate of location parameter of an Inverse Gauss...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Relia...
In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Relia...
Especially when facing reliability data with limited information (e.g., a small number of failures),...
This paper aims to study the sensitivity of Bayes estimate of location parameter of an Inverse Gauss...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability meas...
In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Relia...
In this paper we employ ML-II ε-contaminated class of priors to study the sensitivity of Bayes Relia...
Especially when facing reliability data with limited information (e.g., a small number of failures),...
This paper aims to study the sensitivity of Bayes estimate of location parameter of an Inverse Gauss...
In reliability engineering, data about failure events is often scarce. To arrive at meaningful estim...