Survival estimation for singly type one censored sample based on generalized rayleigh distribution

Abstract EN

This paper interest to estimation the unknown parameters for generalized Rayleigh distribution model based on censored samples of singly type one .

In this paper the probability density function for generalized Rayleigh is defined with its properties .

The maximum likelihood estimator method is used to derive the point estimation for all unknown parameters based on iterative method , as Newton – Raphson method , then derive confidence interval estimation which based on Fisher information matrix .

Finally , testing whether the current model ( GRD ) fits to a set of real data , then compute the survival function and hazard function for this real data.