Inference on R = P(X < Y ) 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
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...
The paper is concerned with Bayesian analysis of Exponentiated Rayleigh distribution for complete sa...
In this paper, we introduce maximum likelihood and Bayesian parameter estimation for the exponentiat...
Inference on)<( = YXPR has been considered when X and Y belong to independent exponentiated famil...
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...
The main objective of this paper is to suggest and study a new exponentiated general class (EGC) of ...
Some tests and confidence bounds for the reliability parameter R=P(Y<X) are proposed, where X and...
A positive exponential family of distributions is taken into consideration. Two measures of reliabil...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...
Exponentiated distributions are considered. Two measures of reliability are considered, R(t)=P(X>t) ...
The current study addresses Bayesian prediction intervals for exponentiated family distributions obs...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...
This paper studies Bayesian inference for θ=P(X<Y) in the case where the marginal distributions of X...
This text is for a one semester graduate course in statistical theory and covers minimal and comple...
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...
The paper is concerned with Bayesian analysis of Exponentiated Rayleigh distribution for complete sa...
In this paper, we introduce maximum likelihood and Bayesian parameter estimation for the exponentiat...
Inference on)<( = YXPR has been considered when X and Y belong to independent exponentiated famil...
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...
The main objective of this paper is to suggest and study a new exponentiated general class (EGC) of ...
Some tests and confidence bounds for the reliability parameter R=P(Y<X) are proposed, where X and...
A positive exponential family of distributions is taken into consideration. Two measures of reliabil...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...
Exponentiated distributions are considered. Two measures of reliability are considered, R(t)=P(X>t) ...
The current study addresses Bayesian prediction intervals for exponentiated family distributions obs...
We address the statistical problem of evaluating R = P(X < Y ), where X and Y are two independent ra...
This paper studies Bayesian inference for θ=P(X<Y) in the case where the marginal distributions of X...
This text is for a one semester graduate course in statistical theory and covers minimal and comple...
The paper considers statistical inference for R = P(X \u3c Y) in the case when both X and Y have gen...
The paper is concerned with Bayesian analysis of Exponentiated Rayleigh distribution for complete sa...
In this paper, we introduce maximum likelihood and Bayesian parameter estimation for the exponentiat...