2009Unpublished venueRequires access

A Bayesian Analysis of Order Statistics from the Generalized Rayleigh Distribution

H. Al-Nachawati, S. E. Abu‐Youssef, Saudi Arabia

Open publisher page 3 citations

Abstract

The Bayes estimators for the parameter, reliability function of the generalized Rayleigh distribution are obtained. These estimators are obtained on the basis of square error and LINEX (linear-exponential) loss functions. Comparisons in terms of risks of those under squared error loss functions with Bayes estimators relative to square error loss function are given. Numerical and simulation examples are included.

About this research paper

What this paper is about

The Bayes estimators for the parameter, reliability function of the generalized Rayleigh distribution are obtained. These estimators are obtained on the basis of square error and LINEX (linear-exponential) loss functions. Comparisons in terms of risks of those under squared error loss functions with Bayes estimators relative to square error loss function are given. Numerical and simulation examples are included.

Why it matters

OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The Bayes estimators for the parameter, reliability function of the generalized Rayleigh distribution are obtained. These estimators are obtained on the basis of square error and LINEX (linear-exponential) loss functions. Comparisons in terms of risks of those under squared error loss functions with Bayes estimators relative to square error loss function are given. Numerical and simulation examples are included.

Key concepts: Rayleigh distribution, Mathematics, Estimator, Statistics, Mean squared error, Bayes' theorem, Bayes estimator, Exponential distribution

Related papers

Back to paper searchBrowse research topicsOriginal source
A Bayesian Analysis of Order Statistics from the Generalized Rayleigh Distribution — Research Paper | ScholarLens