ScholarLens Back to search
2020•International Journal of Statistics and Applied MathematicsOpen access

Parameter estimation of area biased Rayleigh distribution

Arun Kumar Rao, Himanshu Pandey

Open full text 1 citations

Abstract

Area biased Rayleigh distribution is considered. The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the parameter of area biased Rayleigh distribution by using quasi and inverted gamma priors. In this paper, the Bayes estimators of the parameter have been obtained under squared error, precautionary and weighted loss functions.

About this research paper

What this paper is about

Area biased Rayleigh distribution is considered. The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the parameter of area biased Rayleigh distribution by using quasi and inverted gamma priors. In this paper, the Bayes estimators of the parameter have been obtained under squared error, precautionary and weighted loss functions.

Why it matters

OpenAlex reports 1 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

Area biased Rayleigh distribution is considered. The classical maximum likelihood estimator has been obtained. Bayesian method of estimation is employed in order to estimate the parameter of area biased Rayleigh distribution by using quasi and inverted gamma priors. In this paper, the Bayes estimators of the parameter have been obtained under squared error, precautionary and weighted loss functions.

Key concepts: Rayleigh distribution, Prior probability, Estimator, Mathematics, Bayes estimator, Statistics, Inverse-gamma distribution, Bayes' theorem

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Parameter estimation of area biased Rayleigh distribution — Research Paper | ScholarLens