Survival analysis of cancer patients using a new Lomax Rayleigh distribution

DOI10.2478/jamsi-2023-0002zbMath1524.62540OpenAlexW4380088256MaRDI QIDQ6115493

Kanaparthi Rosaiah, Gadde Srinivasa Rao, Kolli Naga Saritha

Publication date: 12 July 2023

Published in: Journal of Applied Mathematics, Statistics and Informatics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/jamsi-2023-0002

zbMATH Keywords

propertiesmaximum likelihood estimationsurvival analysisapplicationhead and neck cancer dataLomax Rayleigh distribution

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Exact distribution theory in statistics (62E15) Reliability and life testing (62N05)

Cites Work

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• Weibull-Pareto Distribution and Its Applications
• Estimation methods for the probability density function and the cumulative distribution function of the Pareto-Rayleigh distribution
• Business Failures: Another Example of the Analysis of Failure Data

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