Wednesday, April 20, 2016
Why Forecasters Are often Wrong
In Knowledge@Wharton; Why forecasting is often not on the mark. A favorite author J Scott Armstrong, and a number of others talk about the limitations of accuracy of forecasting, its current capabilities, and thus why data often used to drive analytical models can be wrong.
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment