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Survival estimation for singly type one censored sample based on generalized Rayleigh distribution | ||
| Baghdad Science Journal | ||
| Article 1, Volume 11, Issue 2, 2014, Pages 193-201 | ||
| Authors | ||
| Hind J. Kadhum; Iden H. Alkanani | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Maximum likelihood method; type one censored sample; interval estimation method; and fisher information matrix | ||
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