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| CNONCT |
| Category: | Mathematical |
| Syntax | |
| Arguments | |
| Details | |
| Examples |
Syntax |
| CNONCT(x,df,prob) |
| Range: | x 0 |
| Range: | df > 0 |
| Range: | 0 < prob < 1 |
| Details |
The CNONCT function returns the nonnegative noncentrality parameter from a noncentral chi-square distribution whose parameters are x, df, and nc. If prob is greater than the probability from the central chi-square distribution with the parameters x and df, a root to this problem does not exist. In this case a missing value is returned. A Newton-type algorithm is used to find a nonnegative root nc of the equation
where
where
is the probability from the gamma distribution given by
If the algorithm fails to converge to a fixed point, a missing value is returned.
| Examples |
data work;
x=2;
df=4;
do nc=1 to 3 by .5;
prob=probchi(x,df,nc);
ncc=cnonct(x,df,prob);
output;
end;
run;
proc print;
run;
Computations of the Noncentrality Parameters from the Chi-squared Distribution
OBS x df nc prob ncc
1 2 4 1.0 0.18611 1.0
2 2 4 1.5 0.15592 1.5
3 2 4 2.0 0.13048 2.0
4 2 4 2.5 0.10907 2.5
5 2 4 3.0 0.09109 3.0 |
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Copyright 1999 by SAS Institute Inc., Cary, NC, USA. All rights reserved.