Various parametric and nonparametric approaches are available in the literature for estimating the probability density function and intensity function of the censored data. A retrospective study was carried out on the stomach cancer patients who registered in a tertiary cancer centre during the years 2010 and 2011. Their treatment and demographic characteristics have been studied. The density function and intensity function were estimated using a real polynomial that Rudin used to prove Stone-Weierstrass theorem.

nonparametric estimation, polynomial density estimator, intensity estimation, stomach cancer.

Received: November 28, 2021; Revised: January 24, 2022; Accepted: January 29, 2022; Published: February 10, 2022

How to cite this article: K. Ratheesan, Estimation of probability density function and intensity function of the survival of stomach cancer patients using real polynomials, JP Journal of Biostatistics 20 (2022), 1-10. DOI: 10.17654/0973514322010

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License 

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