Example 4.27 Creating a Histogram to Display Lognormal Fit

This example uses the data set Aircraft from Example 4.26 to illustrate how to display a lognormal fit with a histogram. To determine whether the lognormal distribution is an appropriate model for a distribution, you should consider the graphical fit as well as conduct goodness-of-fit tests. The following statements fit a lognormal distribution and display the density curve on a histogram:

title 'Distribution of Position Deviations';
ods select Lognormal.ParameterEstimates Lognormal.GoodnessOfFit MyPlot;
proc univariate data=Aircraft;
   var Deviation;
   histogram / lognormal(w=3 theta=est)
               vaxis = axis1
               name  = 'MyPlot';
   inset n mean (5.3) std='Std Dev' (5.3) skewness (5.3) /
         pos = ne  header = 'Summary Statistics';
   axis1 label=(a=90 r=0);
run;

The ODS SELECT statement restricts the output to the "ParameterEstimates" and "GoodnessOfFit" tables; see the section ODS Table Names. The LOGNORMAL primary option superimposes a fitted curve on the histogram in Output 4.27.1. The W= option specifies the line width for the curve. The INSET statement specifies that the mean, standard deviation, and skewness be displayed in an inset in the northeast corner of the plot. Note that the default value of the threshold parameter is zero. In applications where the threshold is not zero, you can specify with the THETA= option. The variable Deviation includes values that are less than the default threshold; therefore, the option THETA= EST is used.

Output 4.27.1 Normal Probability Plot Created with Graphics Device