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Dataplot Vol 2 Vol 1

UTSCDF

Name:
    UTSCDF (LET)
Type:
    Library Function
Purpose:
    Compute the uneven two-sided power cumulative distribution function.
Description: Syntax:
    LET <y> = UTSCDF(<x>,<a>,<b>,<d>,<n1>,<n3>,<alpha>)
                            <SUBSET/EXCEPT/FOR qualification>
    where <x> is a variable, number, or parameter containing values in the interval (a,d);
                <a> is a number, parameter, or variable that specifies the first shape parameter;
                <b> is a number, parameter, or variable that specifies the second shape parameter;
                <d> is a number, parameter, or variable that specifies the third shape parameter;
                <n1> is a number, parameter, or variable that specifies the fourth shape parameter;
                <n3> is a number, parameter, or variable that specifies the fifth shape parameter;
                <alpha> is a number, parameter, or variable that specifies the sixth shape parameter;
                <y> is a variable or a parameter (depending on what <x> is) where the computed cdf value is stored;
    and where the <SUBSET/EXCEPT/FOR qualification> is optional.
Examples:
    LET A = UTSCDF(0.65,0,0.2,1,2,2,0.5)
    LET Y = UTSCDF(X,0,0.8,1,2,2,0.5)
    LET Y = UTSCDF(X,A,B,D,N1,N3,ALPHA)
Default:
    None
Synonyms:
    None
Related Commands:
    UTSPDF = Compute the uneven two-sided power probability density function.
    UTSPPF = Compute the uneven two-sided power percent point function.
    TSPPDF = Compute the two-sided power probability density function.
    POWPDF = Compute the power probability density function.
    GTRPDF = Compute the generalized trapezoid probability density function.
    TSOPDF = Compute the two-sided ogive probability density function.
    OGIPDF = Compute the ogive probability density function.
    TSSPDF = Compute the two-sided slope probability density function.
    SLOPDF = Compute the slope probability density function.
    BETPDF = Compute the Beta probability density function.
    JSBPDF = Compute the Johnson SB probability density function.
Reference:
    Kotz and Van Dorp (2004), "Beyond Beta: Other Continuous Families of Distributions with Bounded Support and Applications", World Scientific Publishing Company, Chapter 6.
Applications:
    Distributional Modeling
Implementation Date:
    2007/10
Program:

Date created: 12/17/2007
Last updated: 12/17/2007
Please email comments on this WWW page to alan.heckert@nist.gov.