
B12CDFName:
with c, k, l, and s denoting the two shape parameters, the location parameter, and the scale parameter, respectively. The case where l = 0 and s = 1 is referred to as the standard Burr type 12 distribution. The Burr type 12 distribution is also sometimes referred to as the SinghMaddala distribution.
<SUBSET/EXCEPT/FOR qualification> where <x> is a number, parameter, or variable; <y> is a variable or a parameter (depending on what <x> is) where the computed Burr type 12 cdf value is stored; <c> 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 = B12CDF(X,0.5,2,2,0,5) PLOT B12CDF(X,2,0,3) FOR X = 0 0.01 5
Johnson, Kotz, and Balakrishnan (1994), "Contiunuous Univariate DistributionsVolume 1", Second Edition, Wiley, pp. 5354. Devroye (1986), "NonUniform Random Variate Generation", SpringerVerlang, pp. 476477.
LABEL CASE ASIS TITLE CASE ASIS TITLE OFFSET 2 . MULTIPLOT 4 4 MULTIPLOT CORNER COORDINATES 0 0 100 95 MULTIPLOT SCALE FACTOR 4 . LET CVAL = 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 C = CVAL(IROW) LET K = KVAL(ICOL) TITLE C = ^c, K = ^k PLOT B12CDF(X,C,K) FOR X = 0.01 0.01 5 END OF LOOP END OF LOOP . END OF MULTIPLOT . JUSTIFICATION CENTER MOVE 50 97 TEXT Burr Type 12 Cumulative Distribution Functions
Date created: 12/17/2007 