Wrapped size biased gamma Lindley distribution with application

This article introduces a new circular distribution, the wrapped size-biased gamma Lindley distribution.The article elucidates the properties of this newly proposed distribution, providing explicit expressions for key statistical measures such as the characteristic function, trigonometric moments, resultant length, mean, circular variance, standard deviation, skewness, and kurtosis.Estimation of model parameters is conducted using the maximum likelihood and weighted least squares methods.Lastly, the article applies the model to real-world data and compares its goodness of fit against the established model in the existing literature.

Authors

Publication Details

Journal
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
Published
2025-01-01
DOI
https://doi.org/10.14744/sigma.2025.00109
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

Wrapped size biased gamma Lindley distribution with application

Phanı Yedlapalli
Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
Statistical Distribution Estimation and Applications
article

Wrapped size biased gamma Lindley distribution with application

Phanı Yedlapalli
article en

Abstract

This article introduces a new circular distribution, the wrapped size-biased gamma Lindley distribution.The article elucidates the properties of this newly proposed distribution, providing explicit expressions for key statistical measures such as the characteristic function, trigonometric moments, resultant length, mean, circular variance, standard deviation, skewness, and kurtosis.Estimation of model parameters is conducted using the maximum likelihood and weighted least squares methods.Lastly, the article applies the model to real-world data and compares its goodness of fit against the established model in the existing literature.

Sigma Journal of Engineering and Natural Sciences – Sigma Mühendislik ve Fen Bilimleri Dergisi
Openalex Percentile: Top 81%
Statistical Distribution Estimation and Applications
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