Stochastic and Optimization Models for Two Stage Cancer Studies with Homogeneous Processes
Journal Title: Journal of Advanced Research in Applied Mathematics and Statistics - Year 2017, Vol 2, Issue 3
Abstract
In this paper, stochastic model for carcinogenesis under the assumption of homogeneous birth-and-death processes using ordinary linear differential equations has been considered [1]. The statistical measures based on moments are derived from the developed model. Further, stochastic optimization programming problem is formulated to find the decision parameter involved in cancer growth/ loss. This study can evaluate the status of cancer levels over a specified period. Medical practitioners can make use of this study for assessing the status levels of disease controlling parameters and for optimal drug administration to cancer patients.
Authors and Affiliations
Jayabharathiraj Jayabalan
Keywords
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