Inference on)<( = YXPR has been considered when X and Y belong to independent exponentiated family of distributions. Maximum Likelihood Estimator (MLE), Uniformly Minimum Variance Unbiased Estimator (UMVUE) and Bayes Estimator of R has been derived and compared through simulation study. Exact and approximate confidence intervals and Bayesian credible intervals have also been derived
We consider confidence intervals for the stress-strength reliability Pr(X< Y) in the two-parameter e...
While empirical Bayes methods thrive in the presence of the hundreds or thousands of simultaneous hy...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...
Inference on R = P(X < Y ) has been considered when X and Y belong to independent exponentiated f...
This paper deals with inference results in R=P(Y<X) when X and Y are independently but not identi...
The Bayes estimators of the shape parameter of exponentiated family of distributions have been deriv...
A positive exponential family of distributions is taken into consideration. Two measures of reliabil...
Some tests and confidence bounds for the reliability parameter R=P(Y<X) are proposed, where X and...
The main objective of this paper is to suggest and study a new exponentiated general class (EGC) of ...
Exponentiated distributions are considered. Two measures of reliability are considered, R(t)=P(X>t) ...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...
This text is for a one semester graduate course in statistical theory and covers minimal and comple...
The current study addresses Bayesian prediction intervals for exponentiated family distributions obs...
The paper is concerned with Bayesian analysis of Exponentiated Rayleigh distribution for complete sa...
Maximum likelihood estimation (MLE), uniformly minimum variance unbiased estimation (UMVUE) and mini...
We consider confidence intervals for the stress-strength reliability Pr(X< Y) in the two-parameter e...
While empirical Bayes methods thrive in the presence of the hundreds or thousands of simultaneous hy...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...
Inference on R = P(X < Y ) has been considered when X and Y belong to independent exponentiated f...
This paper deals with inference results in R=P(Y<X) when X and Y are independently but not identi...
The Bayes estimators of the shape parameter of exponentiated family of distributions have been deriv...
A positive exponential family of distributions is taken into consideration. Two measures of reliabil...
Some tests and confidence bounds for the reliability parameter R=P(Y<X) are proposed, where X and...
The main objective of this paper is to suggest and study a new exponentiated general class (EGC) of ...
Exponentiated distributions are considered. Two measures of reliability are considered, R(t)=P(X>t) ...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...
This text is for a one semester graduate course in statistical theory and covers minimal and comple...
The current study addresses Bayesian prediction intervals for exponentiated family distributions obs...
The paper is concerned with Bayesian analysis of Exponentiated Rayleigh distribution for complete sa...
Maximum likelihood estimation (MLE), uniformly minimum variance unbiased estimation (UMVUE) and mini...
We consider confidence intervals for the stress-strength reliability Pr(X< Y) in the two-parameter e...
While empirical Bayes methods thrive in the presence of the hundreds or thousands of simultaneous hy...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...