with c denoting the shape parameter.
This distribution can be extended with lower and upper bound parameters. If a and b denote the lower and upper bounds, respectively, then the location and scale parameters are:
scale = b - a
The general form of the distribution can then be found by using the relation
If X has a Pareto distribution, then 1/X has a power distribution. The power distribution is also a special case of the beta distribution where the second shape parameter is equal to 1 (the reflected power distribution is the special case of the beta distribution where the first shape parameter = 1).
where <x> is a number, parameter, or variable containing values in the interval (a,b);
<y> is a variable or a parameter (depending on what <x> is) where the computed power cumulative hazard value is stored;
<c> is a positive number, parameter, or variable that specifies the shape parameter;
<a> is a number, parameter, or variable that specifies the lower limit;
<b> is a number, parameter, or variable that specifies the upper limit;
and where the <SUBSET/EXCEPT/FOR qualification> is optional.
If <a> and <b> are omitted, they default to 0 and 1, respectively.
LET X2 = POWCHAZ(X1,C)
Evans, Hastings, and Peacock (2000), "Statistical Distributions", Third Edition, John Wiley & Sons, chapter 33.
TITLE POWER FUNCTION CUMULATIVE HAZARD FUNCTIONS (0.1, 0.5, 1, 3, 10) PLOT POWCHAZ(X,0.1) FOR X = 0.01 0.01 0.99 AND PLOT POWCHAZ(X,0.5) FOR X = 0.01 0.01 0.99 AND PLOT POWCHAZ(X,1) FOR X = 0.01 0.01 0.99 AND PLOT POWCHAZ(X,2) FOR X = 0.01 0.01 0.99 AND PLOT POWCHAZ(X,5) FOR X = 0.01 0.01 0.99
Date created: 12/17/2007