Assertion: inversion's inverse | /r/CapableOf | transform sampling
Facets:
value: for normal distribution
type: PURPOSE
Source sentences:
text: Inverse transform sampling (also known as inversion sampling, the inverse probability integral transform, the inverse transformation method, Smirnov transform, or the golden rule) is a basic method for pseudo-random number sampling, i.e., for generating sample numbers at random from any probability distribution given its cumulative distribution function.
text: Inverse transform sampling for normal distribution
text: Inverse transform sampling can be simply extended to cases of truncated distributions on the interval ( a , b ]