There are a number of statistical principles that are perhaps more honored in the breach than in the observance. For fun I am going to name a few, and show why they are not always the “precision surgical knives of thought” one would hope for (working more like large hammers). The litany of complaints A … Continue reading You can’t do that in statistics
We here at Win-Vector LLC been working through an ad-hoc series about A/B testing combining elements of both operations research and statistical points of view. A dynamic programming solution to A/B test design Why does designing a simple A/B test seem so complicated? A clear picture of power and significance in A/B tests Bandit Formulations … Continue reading Sequential Analysis
“Data Science” is obviously a trendy term making it way through the hype cycle. Either nobody is good enough to be a data scientist (unicorns) or everybody is too good to be a data scientist (or the truth is somewhere in the middle). Gartner hype cycle (Wikipedia). And there is a quarter that grumbles that … Continue reading What was data science before it was called data science?
Rick Wicklin on the SAS blog made a post today on how to tell if a sequence of coin flips were random. I figured it was only fair to port the SAS IML code over to R. Just like Rick Wicklin did in his example this is the Wald-Wolfowitz test for randomness. I tried to […]
