On the Estimation of the Generalized Inverted Rayleigh Distribution with Real Data Applications

R. A. Bakoban; M. I. Abubaker

This article discusses Bayesian and non-Bayesian estimator methods to estimate the unknown parameters of the generalized inverted Rayleigh distribution (GIRD). Maximum likelihood estimators of the unknown parameters are obtained. Also, Bayesian estimators under squared error (SE) and linear-exponential (LINEX) loss functions are derived. Moreover, applications to real data sets are provided.

Select Volume / Issues:

• Volume 6,Issue 4, July 2015

Year:

2015

Type of Publication:

Article

Keywords:

Bayesian Estimator; Conjugate Prior; Loss Function; Maximum Likelihood Estimator

Journal:

IJECCE

Volume:

6

Number:

4

Pages:

502-508

Month:

July