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Analytics | Data Visualization | Learn SAS
Rick Wicklin 0
Influential observations in a linear regression model: The DFFITS and Cook's D statistics

A previous article describes the DFBETAS statistics for detecting influential observations, where "influential" means that if you delete the observation and refit the model, the estimates for the regression coefficients change substantially. Of course, there are other statistics that you could use to measure influence. Two popular ones are the

Analytics | Learn SAS
Rick Wicklin 0
What is Kolmogorov's D statistic?

Have you ever run a statistical test to determine whether data are normally distributed? If so, you have probably used Kolmogorov's D statistic. Kolmogorov's D statistic (also called the Kolmogorov-Smirnov statistic) enables you to test whether the empirical distribution of data is different than a reference distribution. The reference distribution

Data Visualization | Learn SAS | SAS Events
Scott Hicks 0
Why Maps matter: Lessons learned from London's 1854 Cholera outbreak

The catch phrase “everything happens somewhere” is increasingly common these days.  That “somewhere” translates into a location on the Earth; a latitude and longitude.  When one of these “somewhere’s” is combined with many other “somewhere’s”, you quickly have a robust spatial data set that becomes actionable with the right analytic

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