
QBIPPFName:
with p, , and m denoting the shape parameters. The quasibinomial type I distribution is used to model Bernoulli trials. The parameter p denotes the initial probability of success, m denotes the number of Bernoulli trials, and denotes how the probability of success increases or decreases with the number of successes. Specificially, when = 0, the quasibinomial type I distribution reduces to the binomial distribution. When ≠ 0, the probability of success in the xth trial becomes
The cumulative distribution function is computed using the following recurrence relation given by Consul and Famoye:
The percent point function is computed by summing 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); <p> is a number, parameter, or variable in the range (0,1) that specifies the first shape parameter; <phi> is a number, parameter, or variable that specifies the second shape parameter; <m> is a number, parameter, or variable that specifies the third shape parameter; <y> is a variable or a parameter (depending on what <x> is) where the computed quasi binomial type I ppf value is stored; and where the <SUBSET/EXCEPT/FOR qualification> is optional.
LET Y = QBIPPF(P,0.7,0.01,20) PLOT QBIPPF(P,0.3,0.005,20) FOR P = 0 0.01 1
title size 3 tic label size 3 label size 3 legend size 3 height 3 x1label displacement 12 y1label displacement 15 . multiplot corner coordinates 0 0 100 95 multiplot scale factor 2 label case asis title case asis case asis tic offset units screen tic offset 3 3 title displacement 2 x1label Probability y1label X . xlimits 0 1 major xtic mark number 6 minor xtic mark number 3 . multiplot 2 2 . title P = 0.3, Phi = 0.01, M = 20 plot qbicdf(x,0.3,0.01,20) for x = 0 0.01 1 . title P = 0.3, Phi = 0.01, M = 20 let phi = 0.01 plot qbicdf(x,0.3,phi,20) for x = 0 0.01 1 . title P = 0.7, Phi = 0.01, M = 20 plot qbicdf(x,0.7,0.01,20) for x = 0 0.01 1 . title P = 0.7, Phi = 0.01, M = 20 let phi = 0.01 plot qbicdf(x,0.7,phi,20) for x = 0 0.01 1 . end of multiplot . justification center move 50 97 text Percent Point Functions for Quasi Binomial Type I
Date created: 8/23/2006 