Generalized Rayleigh processes

Discrete Generalized Rayleigh Distribution

1 Department of Statistics, University of Isfahan, Isfahan, Iran Naghshejahan Institute of Higher Education, Baharestan, Isfahan, Iran. Email: [email protected] 2 Department of Statistics, St. Anthony’s College, Shillong, Meghalaya, India. Email: [email protected] 3 Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA. Email: [email protected] 4 D...

Bayesian Analysis for the Generalized Rayleigh Distribution

In this paper, the estimation problem of generalized Rayleigh distribution is considered. The parameters are estimated using likelihood based inferential procedure: classical as well as Bayesian. We have computed MLEs and Bayes estimates under gamma priors along with their asymptotic confidence, bootstrap and HPD intervals. The Bayesian estimates of the parameters of generalized Rayleigh distri...

Estimation of the Generalized Rayleigh Distribution Parameters

This paper presents estimations of the generalized Rayleigh distribution model based on grouped and censored data. The maximum likelihood method is used to derive point and asymptotic confidence estimates of the unknown parameters. The results obtained in this paper generalize some of those available in the literature. Finally, we test whether the current model fits a set of real data better th...

Generalized Rayleigh distribution: different methods of estimations

Recently Surles and Padgett (2001) introduced two-parameter Burr Type X distribution, which can also be described as generalized Rayleigh distribution. It is observed that this particular skewed distribution can be used quite effectively in analyzing lifetime data. Recently the authors (Raqab and Kundu; 2003) considered this distribution and discussed its different properties. In this paper, we...

Rayleigh processes in single-phase fluids