Publications

In this paper, the statistical inference for the Gompertz distribution based on generalized progressively hybrid censored data is discussed. The estimation of the parameters for Gompertz distribution is discussed using the maximum likelihood method...
In this paper, the maximum likelihood and Bayesian estimations are developed based on progressive Type-I hybrid censored sample from the Pareto distribution. The Bayesian estimators for the unknown parameters are computed using the squared error...
In this paper, the statistical inference of the unknown parameters of a two-parameter inverse Weibull (IW) distribution based on the generalized Type-II progressive hybrid censoring scheme (GT-II PHCS) has been considered. The Bayes estimates for...
: In this paper, a general inverse exponential form of the underlying distribution and a general conjugate prior are used to discuss the maximum likelihood and Bayesian estimation based on unified hybrid censored sample. A general procedure for...
In this paper, a general exponential form of the underlying distribution and a general conjugate prior are used to discuss the maximum likelihood and Bayesian estimation based on an adaptive progressive censored sample. A general procedure for...
In this paper, the maximum likelihood and Bayesian estimation are developed based on Type-II progressive hybrid censoring scheme from the Pareto distribution. One and twosample Bayesian prediction is also discussed using Type-II progressive hybrid...
In this paper, the maximum likelihood and Bayesian estimation are developed based on pooled sample of two independent Type-II censored samples from the inverse exponential distribution. The Bayesian estimation is discussed using different loss...
In this paper, the maximum likelihood and Bayesian estimations are developed based on an ordered pooled sample from two independent samples of record values from the left truncated exponential distribution. The Bayesian estimation for the unknown...