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BU9PPFName:
with r and k denoting the shape parameters. This distribution can be generalized with location and scale parameters in the usual way using the relation
<SUBSET/EXCEPT/FOR qualification> where <p> is a number, parameter, or variable; <y> is a variable or a parameter (depending on what <p> is) where the computed Burr type 9 ppf value is stored; <r> is a positive number, parameter, or variable that specifies the first shape parameter; <k> is a positive number, parameter, or variable that specifies the second shape parameter; <loc> is a number, parameter, or variable that specifies the location parameter; <scale> is a positive number, parameter, or variable that specifies the scale parameter; and where the <SUBSET/EXCEPT/FOR qualification> is optional. If <loc> and <scale> are omitted, they default to 0 and 1, respectively.
LET Y = BU9PPF(P,0.5,2.2,0,5) PLOT BU9PPF(P,2,1.8) FOR X = 0.01 0.01 0.99
Johnson, Kotz, and Balakrishnan (1994), "Contiunuous Univariate Distributions--Volume 1", Second Edition, Wiley, pp. 53-54. Devroye (1986), "Non-Uniform Random Variate Generation", Springer-Verlang, pp. 476-477.
LABEL CASE ASIS TITLE CASE ASIS TITLE OFFSET 2 . MULTIPLOT 4 4 MULTIPLOT CORNER COORDINATES 0 0 100 95 MULTIPLOT SCALE FACTOR 4 . LET RVAL = DATA 0.5 1 2 5 LET KVAL = DATA 0.5 1 2 5 . LOOP FOR IROW = 1 1 4 LOOP FOR ICOL = 1 1 4 LET R = RVAL(IROW) LET K = KVAL(ICOL) TITLE R = ^r, K = ^k PLOT BU9PPF(P,R,K) FOR P = 0.01 0.01 0.99 END OF LOOP END OF LOOP . END OF MULTIPLOT . JUSTIFICATION CENTER MOVE 50 97
Date created: 12/17/2007 |