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John Kwadey Okutu

Statistics and Actuarial Science

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Research Summary

(inferred from publications by AI)

The researcher has made significant contributions to the field of statistical distribution estimation and applications, particularly in physical sciences. Their work encompasses the development of flexible extensions for distributions such as the unit upper truncated Weibull distribution, inverse unit exponential probability distribution, Ramos-Louzada-generated families, and odd Ramos-Louzada distributions. These advancements have been applied to geology, engineering, radiation data, failure analysis, waiting times, diabetes survival, and cancer studies, demonstrating a broad impact across various scientific domains.

Research Themes

All Papers

A flexible extension of the unit upper truncated Weibull distribution: Statistical analysis with applications on geology, engineering, and radiation Data(2025)
Statistical inference with modeling radiation data for a new extension of inverse unit exponential probability distribution(2025)
A New Generated Family of Distributions: Statistical Properties and Applications with Real-Life Data(2023)
The Odd Ramos-Louzada Generator of distributions with applications to failure and waiting times(2023)
Modified Ramos-Louzada-G family with baseline Weibull distribution: Properties, characterizations, regression, and applications(2024)
Generalization of Odd Ramos-Louzada generated family of distributions: Properties, characterizations, and applications to diabetes and cancer survival datasets(2024)

Collaboration Network

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.