ScholarLens Back to search
1984•Communication in Statistics- Theory and MethodsRequires access

On the asymptotic efficiency of moment and maximum likelihood estimators in the three-parameter inverse gaussian distribution

G Jones, Russell C. H. Cheng

Open publisher page 8 citations

Abstract

The asymptotic distribution of estimators generated by the methods of moments and maximum likelihood are considered. Simple formulae are provided which enable comparisons of asymptotic relative efficiency to be effected.

About this research paper

What this paper is about

The asymptotic distribution of estimators generated by the methods of moments and maximum likelihood are considered. Simple formulae are provided which enable comparisons of asymptotic relative efficiency to be effected.

Why it matters

OpenAlex reports 8 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 asymptotic distribution of estimators generated by the methods of moments and maximum likelihood are considered. Simple formulae are provided which enable comparisons of asymptotic relative efficiency to be effected.

Key concepts: Estimator, Mathematics, Moment (physics), Asymptotic distribution, Applied mathematics, Maximum likelihood, Inverse Gaussian distribution, Efficiency

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
On the asymptotic efficiency of moment and maximum likelihood estimators in the three-parameter inverse gaussian distribution — Research Paper | ScholarLens