The Inverse Gaussian Distribution was derived by Erwin Schrödinger as a solution to a specific differential equation. This derivation is not widely available online, making it challenging for researchers to access the original work. The Inverse Gaussian Distribution is significant in various fields, including statistics and physics, due to its applications in modeling random processes. Understanding this derivation requires familiarity with differential equations and statistical distributions.
PREREQUISITESStatisticians, physicists, mathematicians, and researchers interested in the applications and derivations of statistical distributions, particularly those related to Schrödinger's work.