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Dataplot Vol 2 Vol 1

FTPPF

Name:
    FTPPF (LET)
Type:
    Library Function
Purpose:
    Compute the folded t percent point function with NU degrees of freedom. The degrees of freedom parameter should be a positive integer.
Description:
    The folded t distribution is the absolute value of the t distribution. For details of the t distribution, enter HELP TPDF.

    The folded t percent point function is computed using the t percent point as follows:

      FTPPF(p,nu) = TPPF((1 + p)/2,nu)

    with tppf denoting the t percent point function and NU denoting the degrees of freedom parameter.

    The folded t distribution provides an alternative to the half-normal or half-Cauchy in distributional modeling applications. A folded t with 1 degree of freedom is equivalent to a half-Cauchy and the folded t approximates the half-normal as the degrees of freedom gets large (in practice, the approximation is quite good for degrees of freedom > 30). Thus the folded t allows you to model with tails that can vary from half-normal to half-Cauchy in behavior.

Syntax:
    LET <y> = FTPPF(<p>,<nu>)             <SUBSET/EXCEPT/FOR qualification>
    where <p> is a variable, a number or a parameter in the range (0,1];
                <y> is a variable or a parameter (depending on what <p> is) where the computed folded t ppf value is stored;
                <nu> is a positive number or parameter that specifies the degrees of freedom;
    and where the <SUBSET/EXCEPT/FOR qualification> is optional.
Examples:
    LET A = FTPPF(0.95,10)
    LET Y2 = FTPPF(P1,10)
    PLOT FTPPF(P,3) FOR P = 0 0.01 0.95
Default:
    None
Synonyms:
    None
Related Commands:
    FTCDF = Compute the folded t cumulative distribution function.
    FTPDF = Compute the folded t probability density function.
    TPDF = Compute the t probability density function.
    STPDF = Compute the skewed t probability density function.
    HFNPDF = Compute the half-normal probability density function.
    FNRPDF = Compute the folded normal probability density function.
    HFCPDF = Compute the half-Cauchy probability density function.
Reference:
    "Continuous Univariate Distributions, Volume 2", Second Edition, Johnson, Kotz, and Balakrishnan, Wiley, 1994, p. 403.
Applications:
    Distributional Modeling
Implementation Date:
    2004/1
Program:
     
    MULTIPLOT CORNER COORDINATES 0 0 100 100
    MULTIPLOT SCALE FACTOR 2
    MULTIPLOT 2 2
    TITLE AUTOMATIC
    PLOT FTPPF(P,1)  FOR X = 0  0.01  0.99
    PLOT FTPPF(P,5)  FOR X = 0  0.01  0.99
    PLOT FTPPF(P,10) FOR X = 0  0.01  0.99
    PLOT FTPPF(P,30) FOR X = 0  0.01  0.99
    END OF MULTIPLOT
        

    plot generated by sample program

Date created: 2/3/2004
Last updated: 2/3/2004
Please email comments on this WWW page to alan.heckert@nist.gov.