Which normal density curve best approximates the sample histogram? The answer suggested here is the normal curve that minimizes the integrated squared deviation between the histogram and the normal ...
This displays the parametric density estimation dialog in Figure 12.14. You can select one of four distribution families, and you can use sample parameter estimates or you can specify your own. Figure ...
approximate mean integrated square error (MISE) for the kernel density * Available with only the HISTOGRAM statement and a BETA, EXPONENTIAL, LOGNORMAL, NORMAL, or ...
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