Dataplot Vol 2 Vol 1

# TOPCDF

Name:
TOPCDF (LET)
Type:
Library Function
Purpose:
Compute the Topp and Leone cumulative distribution function with shape parameter beta.
Description:
The standard Topp and Leone distribution has the following cumulative distribution function:

with denoting the shape parameter.

This distribution can be extended with lower and upper bound parameters. If a and b denote the lower and upper bounds, respectively, then the location and scale parameters are:

location = a
scale = b - a

The general form of the distribution can then be found by using the relation

Syntax:
LET <y> = TOPCDF(<x>,<beta>,<a>,<b>)
<SUBSET/EXCEPT/FOR qualification>
where <x> is a number, parameter, or variable containing values in the interval (a,b);
<y> is a variable or a parameter (depending on what <x> is) where the computed Topp and Leone cdf value is stored;
<beta> is a positive number, parameter, or variable that specifies the shape parameter;
<a> is a number, parameter, or variable that specifies the lower limit;
<b> is a number, parameter, or variable that specifies the upper limit;
and where the <SUBSET/EXCEPT/FOR qualification> is optional.

If a and b are omitted, they default to 0 and 1, respectively.

Examples:
LET A = TOPCDF(0.3,0.2)
LET Y = TOPCDF(X,0.5,0,5)
PLOT TOPCDF(X,2,0,3) FOR X = 0 0.01 3
Default:
None
Synonyms:
None
Related Commands:
 TOPPDF = Compute the Topp and Leone probability density function. TOPPPF = Compute the Topp and Leone percent point function. RGTPDF = Compute the generalized reflected Topp and Leone probability density function. GTLPDF = Compute the generalized Topp and Leone probability density function. TSPPDF = Compute the two-sided power probability density function. BETPDF = Compute the beta probability density function. TRIPDF = Compute the triangular probability density function. TRAPDF = Compute the trapezoid probability density function. UNIPDF = Compute the uniform probability density function. POWPDF = Compute the power probability density function. JSBPDF = Compute the Johnson SB probability density function.
Reference:
Samuel Kotz and J. Rene Van Dorp 2004, "Beyond Beta: Other Continuous Families of Distributions with Bounded Support and Applications", World Scientific, chapter 2.
Applications:
Distributional Modeling
Implementation Date:
2007/2
Program 1:
```
LABEL CASE ASIS
TITLE CASE ASIS
TITLE OFFSET 2
.
MULTIPLOT 2 2
MULTIPLOT CORNER COORDINATES 0 0 100 95
MULTIPLOT SCALE FACTOR
.
LET BETA  = 0.5
TITLE Beta = ^beta
PLOT TOPCDF(X,BETA) FOR X = 0  0.01  1
.
LET BETA  = 1
TITLE Beta = ^beta
PLOT TOPCDF(X,BETA) FOR X = 0  0.01  1
.
LET BETA  = 1.5
TITLE Beta = ^beta
PLOT TOPCDF(X,BETA) FOR X = 0  0.01  1
.
LET BETA  = 2
TITLE Beta = ^beta
PLOT TOPCDF(X,BETA) FOR X = 0  0.01  1
.
END OF MULTIPLOT
.
JUSTIFICATION CENTER
MOVE 50 97
TEXT TOPP AND LEONE CDF FUNCTIONS
```

Date created: 9/10/2007
Last updated: 9/10/2007