A generalized inverted scale family of distributions is considered. Two measures of reliability are discussed, namely ρ(t) = P(X > t) and P = P(X > Y ). Point and interval estimation procedures are developed for the parameters, ρ(t) and P based on records. Two types of point estimators are developed - uniformly minimum variance unbiased estimators (UMVUES) and maximum likelihood estimators (MLES). A comparative study of different methods of estimation is done through simulation studies and asymptotic confidence intervals of the parameters based on MLE and log transformed MLE are constructed. Testing procedures are also developed for the parametric functions of the distribution and a real life example has been analysed for illustrative purpo...
Based on the k-record values, confidence sets are explored for the parameters of the generalized inv...
A three parameter Burr distribution is considered. Two measures of reliability are discussed, namely...
Two measures of reliability functions, namely R(t)=P(X>t) and P=P(X<Y) have been studied based...
In this article, we consider a generalized inverted Rayleigh distribution.The maximum likelihood est...
This article deals with the estimation of R=P(Y<X), when X and Y are distributed as two independe...
In some situations, only observations that are more extreme than the current extreme value are recor...
In this article, we study estimation methodologies for parameters of a generalized inverted exponent...
This paper deals with the problem of classical and Bayesian estimation of stress-strength reliabilit...
Based on the hybrid censored samples, this article deals with the problem of point and interval esti...
A general family of distributions, namely Kumaraswamy generalized family of (Kw-G) distribution, is ...
A generalized version of inverted exponential distribution (IED) is introduced in this paper. This l...
In this paper, we propose the method of Maximum product of spacings for point estimation of paramete...
In this paper, the estimation of R=P(Y < X), when X and Y are two generalized inverted exponentia...
The maximum likelihood estimation of the unknown parameters of inverse Rayleigh and exponential dist...
In this paper, we consider the maximum likelihood (ML) and the Bayesian estimators of the parameters...
Based on the k-record values, confidence sets are explored for the parameters of the generalized inv...
A three parameter Burr distribution is considered. Two measures of reliability are discussed, namely...
Two measures of reliability functions, namely R(t)=P(X>t) and P=P(X<Y) have been studied based...
In this article, we consider a generalized inverted Rayleigh distribution.The maximum likelihood est...
This article deals with the estimation of R=P(Y<X), when X and Y are distributed as two independe...
In some situations, only observations that are more extreme than the current extreme value are recor...
In this article, we study estimation methodologies for parameters of a generalized inverted exponent...
This paper deals with the problem of classical and Bayesian estimation of stress-strength reliabilit...
Based on the hybrid censored samples, this article deals with the problem of point and interval esti...
A general family of distributions, namely Kumaraswamy generalized family of (Kw-G) distribution, is ...
A generalized version of inverted exponential distribution (IED) is introduced in this paper. This l...
In this paper, we propose the method of Maximum product of spacings for point estimation of paramete...
In this paper, the estimation of R=P(Y < X), when X and Y are two generalized inverted exponentia...
The maximum likelihood estimation of the unknown parameters of inverse Rayleigh and exponential dist...
In this paper, we consider the maximum likelihood (ML) and the Bayesian estimators of the parameters...
Based on the k-record values, confidence sets are explored for the parameters of the generalized inv...
A three parameter Burr distribution is considered. Two measures of reliability are discussed, namely...
Two measures of reliability functions, namely R(t)=P(X>t) and P=P(X<Y) have been studied based...