Continuation of Q&A from the September 19, 2018 ASA web lecture "Why Are Forecasts So Wrong? What Management Must Know About Forecasting." Why Are Forecasts So Wrong? Q&A (Part 2) Q: Should we make a distinction between business as usual forecasts and major change forecasts and do FVA for these
Tag: ASA
"Why are forecasts so wrong?" Q&A (part 2 of 2)
"Why are forecasts so wrong?" Q&A (Part 1 of 2)
Last week I had the pleasure of delivering a one hour web lecture for the American Statistical Association on "Why Are Forecasts So Wrong? What Management Must Know About Forecasting." I find it helpful (both for myself and the audience) to follow up with written responses to all questions submitted
Advocating for a robust value-added implementation
Recently, the American Statistical Association (ASA) released a statement about value-added modeling. This statement was widely covered in the national press, some of which positioned the statement as a significant blow to value-added modeling. However, the ASA statement did not “slam” value-added modeling; rather, the statement’s authors advocated statistical rigor,