The generalized chi-square variable is a quadratic form of a normal variable, or equivalently, a linear sum of independent non-central chi-square variables and a normal variable. Try the Getting Started guide for a quick demo of all the functions.
Das, Abhranil, et al. “A New Method to Compute Classification Error.” Journal of Vision, vol. 19, no. 10, Association for Research in Vision and Ophthalmology (ARVO), Sept. 2019, p. 87, doi:10.1167/19.10.87.
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