27 Aug 2018 | | Contributor(s):: Mehdi Hakim-Hashemi
In this project students learn to derive the probability density function (pdf) of the Poisson distribution and the cumulative distribution (cdf) of the waiting time. They will use them to solve problems in stochastic processes.
1991-Watson-Probability Models in a Differential Equations Course
26 Jun 2015 | | Contributor(s):: Jane M. Watson
Watson, Jane M. 1991. Building probability models in a differential equations course. International Journal of Mathematical Education in Science and Technology. 22(4): 507-517.Article Abstract: An application is considered of elementary differential equations rarely, if ever, used in first...
04 Jun 2015 | | Contributor(s):: Brian Winkel
We build the infinite set of first order differential equations for modeling a stochastic process, the so-called birth and death equations. We will only need to use integrating factor solution strategy or DSolve in Mathematica for success. We work to build our model of random events which...