This function evaluates the Student's t probability density function.
TPR — Function value, the value of the probability density function. (Output)
T — Argument for which the Student's t probability density function is to be evaluated. (Input)
DF — Degrees of
freedom. (Input)
DF must be greater
than or equal to 1.0.
Specific: The specific interface names are S_TPR and D_TPR
Double: The double precision name is DTPR.
The function TPR evaluates the Student's t probability density function, defined as
The normalizing factor uses the Beta function, BETA (see Special Functions/Chapter 4, Gamma and Related Funtions).
In this example, we evaluate the probability function at T = 1.5, DF = 10.0.
USE
UMACH_INT
USE
TPR_INT
IMPLICIT NONE
99999 FORMAT (' TPR(', F4.2, ', ', F6.2, ') = ', F6.4)
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