Abstract
This article addresses the problem of frequentist and Bayesian estimation of the parameters of the generalized Rayleigh distribution using lower record values. The explicit expressions for single and product moments of lower record values from this distribution are given. The maximum likelihood and Bayes estimates based on lower records are derived for the parameters of the distribution. We consider the Bayes estimators of the parameters under the assumption of Gamma priors with respect to the shape and scale parameters. The Bayes estimators are inaccessible in explicit form.We analyze them with reference to both symmetric and asymmetric loss functions.We also derive the Bayes interval of this distribution.We carry out Monte Carlo simulations to compare the performance of the proposed methods.
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Kumar, D. Explicit expressions and statistical inference of generalized rayleigh distribution based on lower record values. Math. Meth. Stat. 24, 225–241 (2015). https://doi.org/10.3103/S1066530715030035
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DOI: https://doi.org/10.3103/S1066530715030035
Keywords
- lower record values
- single and productmoments
- characterization
- generalized Rayleigh distribution
- Bayes estimator
- general entropy loss function
- maximum likelihood estimator