Closed Form Estimators for the Inverse Gamma and Beta Prime Distributions

Closed form estimators for the parameters of inverse gamma and beta prime distributions have not been known. The closed form estimators proposed in Iranmanesh, Vajargah and Hasanzadeh [Mathematical Sciences, 12, 2018, 71-77] are approximations. In this note, exact closed form estimators and their asymptotic distributions are derived for the inverse gamma and beta prime distributions. The better performance of the proposed estimators over the corresponding maximum likelihood estimators is noted.

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Publication Details

Journal
Revstat-statistical Journal
Published
2025-05-04
DOI
https://doi.org/10.57805/p8jt5x62
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

Closed Form Estimators for the Inverse Gamma and Beta Prime Distributions

Victor Mooto Nawa, Saralees Nadarajah
Revstat-statistical Journal
Statistical Distribution Estimation and Applications
article

Closed Form Estimators for the Inverse Gamma and Beta Prime Distributions

Victor Mooto Nawa, Saralees Nadarajah
article en

Abstract

Closed form estimators for the parameters of inverse gamma and beta prime distributions have not been known. The closed form estimators proposed in Iranmanesh, Vajargah and Hasanzadeh [Mathematical Sciences, 12, 2018, 71-77] are approximations. In this note, exact closed form estimators and their asymptotic distributions are derived for the inverse gamma and beta prime distributions. The better performance of the proposed estimators over the corresponding maximum likelihood estimators is noted.

Revstat-statistical Journal
University of Manchester (GB), University of Zambia (ZM)
Openalex Percentile: Top 24%
Statistical Distribution Estimation and Applications
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