The new transformed Sine G family of distribution with inferences and application

This article introduces the New Transformed Sine G Family of distributions, which is a new probability distribution based on trigonometric transformation. It provides detailed derivations of the statistical properties associated with this distribution, such as the hazard function, survival function, inverse hazard, quantile function, moments, moment generating function, and the median. The parameter estimation of the model was conducted using the maximum likelihood method, and the performance of the estimation method was evaluated through Monte Carlo simulation. Furthermore, the applicability of the proposed distribution was demonstrated by analyzing two real datasets, where the model showed superior fit compared to existing distributions for these datasets.

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Publication Details

Journal
Brazilian Journal of Biometrics
Published
2025-06-16
DOI
https://doi.org/10.28951/bjb.v43i3.755
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
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article

The new transformed Sine G family of distribution with inferences and application

Yashpal Singh Raghav, Shamsuddeen Ahmad Sabo, Abdulhameed Ado Osi, Ibrahim Zakariyya Musa
Brazilian Journal of Biometrics
Statistical Distribution Estimation and Applications
article

The new transformed Sine G family of distribution with inferences and application

Yashpal Singh Raghav, Shamsuddeen Ahmad Sabo, Abdulhameed Ado Osi, Ibrahim Zakariyya Musa
article en

Abstract

This article introduces the New Transformed Sine G Family of distributions, which is a new probability distribution based on trigonometric transformation. It provides detailed derivations of the statistical properties associated with this distribution, such as the hazard function, survival function, inverse hazard, quantile function, moments, moment generating function, and the median. The parameter estimation of the model was conducted using the maximum likelihood method, and the performance of the estimation method was evaluated through Monte Carlo simulation. Furthermore, the applicability of the proposed distribution was demonstrated by analyzing two real datasets, where the model showed superior fit compared to existing distributions for these datasets.

Brazilian Journal of BiometricsVol. 43(3)
University of Science and Technology (YE), Jazan University (SA)
Openalex Percentile: Top 86%
Statistical Distribution Estimation and Applications
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The new transformed Sine G family of distribution with inferences and application — Yashpal Singh Raghav, Shamsuddeen Ahmad Sabo, et al. · Brazilian Journal of Biometrics (2025) | TGRS Research Map | TGRS