As an example, when using ordinary least squares regression (OLS), if your response or dependent attribute’s residuals are not normally distributed, your analysis is likely going to be affected and typically not in a good way. The farther away your input data is from normality, the impact on your model
Author
An analytic transform for cantankerous data
Clustering made simple
In my new book, I explain how segmentation and clustering can be accomplished in three ways: coding in SAS, point-and-click in SAS Visual Statistics, and point-and-click in SAS Visual Data Mining and Machine Learning using SAS Model Studio. These three analytical tools allow you to do many diverse types of
Understanding your customers
So this is my first blog entry relating to my book Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition. If you’ve read or are reading my book, I sincerely hope it aids in your understanding of your customers, clients, patients, etc. I originally wrote this book because when