ML-II e-contaminated class of priors are employed to study the sensitivity of Bayes reliability measures for a lognormal (LN) distribution and inverse Gaussian (IG) distribution to mis-specification in the prior is employed. The numerical illustrations suggest that reliability measures of both the distributions are not sensitive to moderate amount of mis-specification in prior distributions belonging to the class of ML-II e-contaminated.Defence Science Journal, 2010, 60(4), pp.442-450, DOI:http://dx.doi.org/10.14429/dsj.60.48
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...
Especially when facing reliability data with limited information (e.g., a small number of failures),...
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...
This paper aims to study the sensitivity of Bayes estimate of location parameter of an Inverse Gauss...
This paper aims to study the sensitivity of Bayes estimate of location parameter of an Inverse Gauss...
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...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
Especially when facing reliability data with limited information (e.g., a small number of failures),...
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...
This paper aims to study the sensitivity of Bayes estimate of location parameter of an Inverse Gauss...
This paper aims to study the sensitivity of Bayes estimate of location parameter of an Inverse Gauss...
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...
Robustness of Bayes estimate of reliability function and the reliable life by employing Edgeworth-g...
Especially when facing reliability data with limited information (e.g., a small number of failures),...