Add to ORKGIn this paper, the Bayesian prediction intervals (BPI ′s) for a fu-ture observation from generalized exponential distribution are computed based on one- and two-sample schemes using the MCMC algorithm. Mathematics Subject Classification: 62F10; 62F15; 62N01; 62N0
In this paper, the lower k-record values arising from a two parameter generalized exponential distri...
AbstractIn this paper, two sample Bayesian prediction intervals for order statistics (OS) are obtain...
The exponential-logarithmic is a new lifetime distribution with decreasing failure rate and interest...
In this paper, the Bayesian prediction intervals for a future gos's from a mixture of two components...
In this article a heterogeneous population is represented by a mixture of two generalized exponentia...
The Markov chain Monte Carlo (MCMC) technique is applied for estimating the Complementary Exponentia...
Bayesian estimation, Bayesian prediction, Generalized exponential distribution, Gibbs and Metropolis...
[[abstract]]The prediction intervals proposed by J. F. Lawless (1971) and G. S. Lingappaiah (1973) f...
The Bayesian interval estimation of the scale parameter for two-parameter exponential distribution i...
The two parameter generalized exponential distribution (which is denoted by GE(α,λ)) was introduced ...
Graduation date:1986Prediction intervals for an outcome of a sufficient statistic, T[subscript y], a...
This paper deals with the construct and compute in a Bayesian setting, point and interval prediction...
Predictive intervals of a future observation for a mixture of exponentials distribution with timecen...
The current study addresses Bayesian prediction intervals for exponentiated family distributions obs...
[[abstract]]Wu (2015) proposed the general weighted moments estimators (GWMEs) of the scale paramete...
In this paper, the lower k-record values arising from a two parameter generalized exponential distri...
AbstractIn this paper, two sample Bayesian prediction intervals for order statistics (OS) are obtain...
The exponential-logarithmic is a new lifetime distribution with decreasing failure rate and interest...
In this paper, the Bayesian prediction intervals for a future gos's from a mixture of two components...
In this article a heterogeneous population is represented by a mixture of two generalized exponentia...
The Markov chain Monte Carlo (MCMC) technique is applied for estimating the Complementary Exponentia...
Bayesian estimation, Bayesian prediction, Generalized exponential distribution, Gibbs and Metropolis...
[[abstract]]The prediction intervals proposed by J. F. Lawless (1971) and G. S. Lingappaiah (1973) f...
The Bayesian interval estimation of the scale parameter for two-parameter exponential distribution i...
The two parameter generalized exponential distribution (which is denoted by GE(α,λ)) was introduced ...
Graduation date:1986Prediction intervals for an outcome of a sufficient statistic, T[subscript y], a...
This paper deals with the construct and compute in a Bayesian setting, point and interval prediction...
Predictive intervals of a future observation for a mixture of exponentials distribution with timecen...
The current study addresses Bayesian prediction intervals for exponentiated family distributions obs...
[[abstract]]Wu (2015) proposed the general weighted moments estimators (GWMEs) of the scale paramete...
In this paper, the lower k-record values arising from a two parameter generalized exponential distri...
AbstractIn this paper, two sample Bayesian prediction intervals for order statistics (OS) are obtain...
The exponential-logarithmic is a new lifetime distribution with decreasing failure rate and interest...