My article with Kim Sellers, Data Dispersion: Now you See it... Now you Don't, which has been accepted for publication quite some time back, is finally available on the website of Communications in Statistics - Theory and Methods.

This weekend an important paper that I co-author with Hank Lucas and Mingfeng Lin has been accepted to the prestigious journal Information Systems Research. The paper, entitled "Too Big to Fail: Large Samples and the P-Value Problem" describes a critical challenge that occurs in modeling large samples. Publications in fields such as Information Systems as well as other social sciences have begun to rely on very large samples for testing theories.

I just published the third book in the "Practical" series (adding to "Practical Time Series Forecasting" and "Practical Acceptance Sampling").

My second eBook has just been published on Amazon: Practical Acceptance Sampling. The book's topic is acceptance sampling, a statistical procedure widely used in today's global supply chains for testing the quality of incoming products or services. The book should be useful to practitioners employing acceptance sampling or and other quality personnel, as well as for students in courses on quality control. My two new eBooks are part of my effort to spread sound statistical knowledge globally.