DEVELOPMENT OF A TRANSMUTED LOMAX GAMMA DISTRIBUTION AND APPLICATION

New families of continuous probability distributions have been introduced; the so-called Development of Transmuted Lomax Gamma Distribution application and its properties were proposed and studied. Various structural properties, including explicit expressions for the moments, quantile functions, order statistics, survival functions, hazard functions, and estimations of new distributions were derived. The performances of the maximum -likelihood estimates of the parameters of the Transmuted Lomax Gamma family were evaluated through a simulation study. After applying the new distribution to real data, we compared its performance to that of other competing distributions and found that the Transmuted Lomax Gamma distribution performed better when using BIC, AIC, and CAIC. Furthermore, we also concluded that the distribution can be used to model highly skewed data (skewed to the right).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-27
DOI
https://doi.org/10.5281/zenodo.14229212
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

DEVELOPMENT OF A TRANSMUTED LOMAX GAMMA DISTRIBUTION AND APPLICATION

Zenodo (CERN European Organization for Nuclear Research)
Statistical Distribution Estimation and Applications
article

DEVELOPMENT OF A TRANSMUTED LOMAX GAMMA DISTRIBUTION AND APPLICATION

article en

Abstract

New families of continuous probability distributions have been introduced; the so-called Development of Transmuted Lomax Gamma Distribution application and its properties were proposed and studied. Various structural properties, including explicit expressions for the moments, quantile functions, order statistics, survival functions, hazard functions, and estimations of new distributions were derived. The performances of the maximum -likelihood estimates of the parameters of the Transmuted Lomax Gamma family were evaluated through a simulation study. After applying the new distribution to real data, we compared its performance to that of other competing distributions and found that the Transmuted Lomax Gamma distribution performed better when using BIC, AIC, and CAIC. Furthermore, we also concluded that the distribution can be used to model highly skewed data (skewed to the right).

Zenodo (CERN European Organization for Nuclear Research)
Nasarawa State University (NG)
Openalex Percentile: Top 45%
Statistical Distribution Estimation and Applications
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