Probability Distributions for the Insight Toolkit
Miller J.
GE Research

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/159
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.
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plus Automatic Testing Results by Insight-Journal Dashboard on Thu Jan 19 10:40:43 2006 for revision #3
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plus Automatic Testing Results by Insight-Journal Dashboard on Fri Jan 6 12:29:06 2006 for revision #2
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plus Automatic Testing Results by Insight-Journal Dashboard on Thu Jan 5 16:50:45 2006 for revision #1
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plus Good by Luis Ibanez on 02-12-2006 for revision #3
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plus Good : Useful classes and paper by Stephen Aylward on 02-12-2006 for revision #3
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plus Useful set of classes by Karthik Krishnan on 01-30-2006 for revision #3
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Information
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Paper Id: 68
Keywords: probability, distribution, statistic, test,
Toolkit: ITK (moved into the toolkit)
Revision: 4 (03-28-2006)
Status: Open for public review

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Paper: view, .pdf

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