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HERCDFName:
and
(1/2) 2,
respectively, then X1 +
2X2 follows a Hermite distribution
with shape parameters
and
.
Some sources in the literature use the parameterization
b = a2 = 0.5 2
The shape parameters
The probability mass function for the Hermite distribution is:
where
with
with [n/2] denoting the integer part of (n/2). The first few terms of the Hermite probability mass function are:
A general recuurence relation is:
For x < 26, Dataplot uses the above recurrence relation to compute the probabilities. For x > 25, Dataplot uses an asymptotic formula due to Patel (see Reference section below) to compute the probabilities.
where <x> is a non-negative integer variable, number, or parameter; <alpha> is a number or parameter that specifies the first shape parameter; <beta> is a number or parameter that specifies the second shape parameter; <y> is a variable or a parameter (depending on what <x> is) where the computed Hermite cdf value is stored; and where the <SUBSET/EXCEPT/FOR qualification> is optional.
LET X2 = HERCDF(X1,ALPHA,BETA) PLOT HERCDF(X,0.8,1.4) FOR X = 0 1 20
"An Asymptotic Expression for Cumulative Sum of Probabilities of the Hermite Distribution", Y. C. Patel, Communications in Statistics--Theory and Methods, 14, pp. 2233-2241. "Some Properties of the Hermite Distribution", Kemp and Kemp, Biometrika (1965), 52, 3 and 4, P. 381. "Even Point Estimation and Moment Estimation in Hermite Distributions", Y. C. Patel, Biometrics, 32, December, 1976, pp. 865-873.
MULTIPLOT 2 2
MULTIPLOT CORNER COORDINATES 0 0 100 100
XTIC OFFSET 0.5 0.5
LINE BLANK
SPIKE ON
TITLE AUTOMATIC
X1LABEL X
Y1LABEL PROBABILITY
X1LABEL DISPLACEMENT 12
Y1LABEL DISPLACEMENT 12
TITLE SIZE 3
PLOT HERCDF(X,0.5,2) FOR X = 0 1 50
PLOT HERCDF(X,2,0.5) FOR X = 0 1 50
PLOT HERCDF(X,0.5,0.5) FOR X = 0 1 50
PLOT HERCDF(X,2,2) FOR X = 0 1 50
END OF MULTIPLOT
Date created: 7/7/2004 |