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 QQPLOT Statement

## Example 10.3: Comparing Weibull Q-Q Plots

This example compares the use of three-parameter and two-parameter Weibull Q-Q plots for the failure times in months for 48 integrated circuits. The times are assumed to follow a Weibull distribution.
   data failures;
input time @@;
label time='Time in Months';
datalines;
29.42 32.14 30.58 27.50 26.08 29.06 25.10 31.34
29.14 33.96 30.64 27.32 29.86 26.28 29.68 33.76
29.32 30.82 27.26 27.92 30.92 24.64 32.90 35.46
30.28 28.36 25.86 31.36 25.26 36.32 28.58 28.88
26.72 27.42 29.02 27.54 31.60 33.46 26.78 27.82
29.18 27.94 27.66 26.42 31.00 26.64 31.44 32.52
;


### Three-Parameter Weibull Plots

 See CAPQQ3 in the SAS/QC Sample Library

If no assumption is made about the parameters of this distribution, you can use the WEIBULL option to request a three-parameter Weibull plot. As in the previous example, you can visually estimate the shape parameter c by requesting plots for different values of c and choosing the value of c that linearizes the point pattern. Alternatively, you can request a maximum likelihood estimate for c, as illustrated in the following statements produce Weibull plots for c=1, 2 and 3:

   title 'Three-Parameter Weibull Q-Q Plot for Failure Times';
proc capability data=failures noprint;
qqplot time / weibull(c=est theta=est sigma=est)
square
HREF=0.5 1 1.5 2
vref   = 25 27.5 30 32.5 35
cframe = ligr
cHREF=ywh
cvref  = ywh;
run;

Note: When using the WEIBULL option, you must either specify a list of values for the Weibull shape parameter c with the C= option, or you must specify C=EST.

Output 10.3.1 displays the plot for the estimated value c=1.99. The reference line corresponds to the estimated values for the threshold and scale parameters of (=24.19 and =5.83, respectively.

Output 10.3.1: Three-Parameter Weibull Q-Q Plot for c=2

### Two-Parameter Weibull Plots

 See CAPQQ3 in the SAS/QC Sample Library

Now, suppose it is known that the circuit lifetime is at least 24 months. The following statements use the threshold value to produce the two-parameter Weibull Q-Q plot shown in Output 10.3.2:

   title 'Two-Parameter Weibull Q-Q Plot for Failure Times';
proc capability data=failures noprint;
qqplot time / weibull2(theta=24 c=est sigma=est)
square
HREF=-4 to 1
vref   = 0 to 2.5 by 0.5
cHREF=pay
cvref  = pay
cframe = ligr;
run;


The reference line is based on maximum likelihood estimates =2.08 and =6.05. These estimates agree with those of the previous example.

Output 10.3.2: Two-Parameter Weibull Q-Q Plot for

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