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PAPPPFName:
with The cumulative distribution function is computed using the following recurrence relation (from page 379 of Johnson, Kemp, and Kotz)
The percent point function is computed by computing the cumulative distribution function until the appropriate probability is obtained.
<SUBSET/EXCEPT/FOR qualification> where <x> is a variable, number, or parameter in the interval (0,1); <theta> is a positive number or parameter that specifies the first shape parameter; <p> is a positive number or parameter that specifies the second shape parameter; <y> is a variable or a parameter where the computed Polya-Aeppli ppf value is stored; and where the <SUBSET/EXCEPT/FOR qualification> is optional.
LET Y = PAPPPF(P,2,0.3) PLOT PAPPPF(P,2,0.3) FOR P = 0 0.01 0.99
Evans (1953), "Experimental Evidence Concerning Contagious Distributions in Ecology", Biometrika, 40, pp. 186-211. Johnson, Kotz, and Kemp (1992), "Univariate Discrete Distributions", Second Edition, Wiley, pp. 378-382.
title size 3
tic label size 3
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multiplot scale factor 1.5
x1label displacement 12
y1label displacement 17
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multiplot corner coordinates 0 0 100 95
multiplot scale factor 2
label case asis
title case asis
case asis
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tic offset 3 3
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x1label Probability
y1label X
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xlimits 0 1
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multiplot 2 2
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title Theta = 0.5, P = 0.5
plot papcdf(x,0.5,0.5) for x = 0 0.01 0.99
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title Theta = 1, P = 0.5
plot papcdf(x,1,0.5) for x = 0 0.01 0.99
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title Theta = 2.5, P = 0.5
plot papcdf(x,2.5,0.5) for x = 0 0.01 0.99
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title Theta = 5, P = 0.5
plot papcdf(x,5,0.5) for x = 0 0.01 0.99
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end of multiplot
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justification center
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text Percent Point for Polya-Aeppli
Date created: 6/20/2006 |