Probability Density Functions
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Probability Density Functions

Probability density functions (pdfs) are effectively smoothed relative fequency histograms. In general, a pdf for a continuous random variable must be nonnegative and must integrate over the whole region to a value of 1 unit.

Subtopics:

    AMMA
        Pattern Recognition
            Probability Density Functions
                Implementation

Classes:

Default Classes Description
NumPDFC Handle class for probability density functions
NumPDFBC Implementation base class for probability density functions.
Author: Robert Crida, Created: 15/6/1998, Generated by DocEntry: March 20, 2001