Chapter 11: Probability Distribution Functions and Inverses

F_cdf

Evaluates the F distribution function.

Synopsis

#include <imsls.h>

float imsls_f_F_cdf (float f, float df_numerator, float df_denominator)

The type double function is imsls_d_F_cdf.

Required Arguments

float f   (Input)
Point at which the F distribution function is to be evaluated.

float df_numerator   (Input)
The numerator degrees of freedom. Argument df_numerator must be positive.

float df_denominator   (Input)
The denominator degrees of freedom. Argument df_denominator must be positive.

Return Value

The probability that an F random variable takes a value less than or equal to the input point, f.

Description

Function imsls_f_F_cdf evaluates the distribution function of a Snedecor's F random variable with df_numerator and df_denominator. The function is evaluated by making a transformation to a beta random variable, then evaluating the incomplete beta function. If X is an F variate with ν1 and ν2 degrees of freedom and Y = (ν1X)/(ν2 + ν1X), then Y is a beta variate with parameters p = ν1/2 and q = ν2/2. Function imsls_f_F_cdf also uses a relationship between F random variables that can be expressed as

FF(f, v1, v2) = 1 - FF(1/f, v2, v1)

where FF is the distribution function for an F random variable.

Figure 11-5  Plot of FF(f, 1.0, 1.0)

Example

This example finds the probability that an F random variable with one numerator and one denominator degree of freedom is greater than 648.

#include <imsls.h>

 

int main()

{

    float       p;

    float       F = 648.0;

    float       df_numerator = 1.0;

    float       df_denominator = 1.0;

 

    p = 1.0 - imsls_f_F_cdf(F,df_numerator, df_denominator);

    printf("%s %s %6.4f.\n", "The probability that an F(1,1) variate",

        "is greater than 648 is", p);

}

Output

The probability that an F(1,1) variate is greater than 648 is 0.0250.


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