MS (Master of Science)
Date of Award
Committee Chair or Co-Chairs
Jeff R. Knisley
Ariel Cintron-Arias, Robert A. Beeler, Robert B. Gardner
The probit function is the inverse of the cumulative distribution function associated with the standard normal distribution. It is of great utility in statistical modelling. The Carleman embedding technique has been shown to be effective in solving first order and, less efficiently, second order nonlinear differential equations. In this thesis, we show that solutions to the second order nonlinear differential equation for the probit function can be approximated efficiently using a variant of the Carleman embedding technique.
Thesis - unrestricted
Alu, Kelechukwu Iroajanma, "Solving the Differential Equation for the Probit Function Using a Variant of the Carleman Embedding Technique." (2011). Electronic Theses and Dissertations. Paper 1306. https://dc.etsu.edu/etd/1306
Copyright by the authors.