LCTCDF
Name:
Type:
Purpose:
Compute the leads in coin tossing cumulative distribution
function.
Description:
The formula for the leads in coin tossing probability mass
function is
with n a nonnegative integer denoting the shape
parameter.
The cumulative distribution function is computed by summing
the probability mass function.
Syntax:
LET <y> = LCTCDF(<x>,<n>)
<SUBSET/EXCEPT/FOR qualification>
where <x> is a variable, a number, or a parameter containing
values between 0 and <n>;
<n> is a number or parameter that defines the upper
limit of the leads in coin tossing distribution;
<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 = LCTCDF(3,20)
LET Y = LCTCDF(X,100)
Default:
Synonyms:
Related Commands:
LCTPDF

= Compute the leads in coin tossing probability mass
function.

LCTPPF

= Compute the leads in coin tossing percent point
function.

DISPDF

= Compute the discrete uniform probability mass function.

MATPDF

= Compute the matching probability mass function.

LOSPDF

= Compute the lost games probability mass function.

ARSPDF

= Compute the arcsine probability density function.

BETPDF

= Compute the beta probability density function.

UNIPDF

= Compute the uniform probability mass function.

Reference:
Johnson, Kotz, and Kemp (1992), "Univariate Discrete
Distributions", Second Edition, Wiley, pp. 274275.
Feller (1957), "Introduction to Probability Theory",
Third Edition, John Wiley and Sons, pp. 7884.
Applications:
Implementation Date:
Program:
TITLE CASE ASIS
TITLE Leads in Coin Tossing Cumulative Distribution ...
Function CR() (N = 50)
LABEL CASE ASIS
Y1LABEL Probability
X1LABEL X
LINE BLANK
SPIKE ON
TIC OFFSET UNITS SCREEN
TIC OFFSET 3 3
PLOT LCTCDF(X,50) FOR X = 0 1 50
Date created: 6/20/2006
Last updated: 6/20/2006
Please email comments on this WWW page to
alan.heckert@nist.gov.
