LSOS experiments: how I learned to stop worrying and love the variability
The Unofficial Google Data Science Blog
FEBRUARY 29, 2016
by AMIR NAJMI In the previous post we looked at how large scale online services (LSOS) must contend with the high coefficient of variation (CV) of the observations of particular interest to them. In this post we explore why some standard statistical techniques to reduce variance are often ineffective in this “data-rich, information-poor” realm. Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem pra
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