The Insight Journal logo
Home

Probability Distributions for the Insight Toolkit

Miller, James
GE Research
The Insight Journal logo

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/159
New: Prefer using the following doi: https://doi.org/10.54294/kawnxk
Published in The Insight Journal - 2006 January - June.
Submitted by James Miller on 2006-01-05T21:19:30Z.

Probability distributions are a key component of clinical research. One only has to make a cursory review of clinical literature to realize that nearly all clinical publications reference some sort of statistical test; be it t-test, chi-squared test, or F-test. In this paper, we describe an architecture for providing the Insight Toolkit with access to probability distributions. The architecture can support parametric and nonparametric probability distributions. Each distribution provides access to its probability density function (PDF), cumulative distribution function (CDF), inverse cumulative distribution function (inverse CDF), mean, and variance. These methods form the basis of statistical tests.