You may’t all the time get what you need
Typically, we don’t get what we would like. And generally, there are legal guidelines of nature that positively forbid us from getting it, regardless of how exhausting we attempt.
The Cramér–Rao sure is one such regulation that fixes an indestructible glass ceiling — a tough higher sure — on the predictive precision achieved by any regression mannequin that anybody can consider.
On this article, we’ll examine this regulation.
I’ll cowl the next two matters:
- WHAT is the Cramér–Rao Sure? I’ll introduce each the variance and the precision types of the sure. Piece-by-piece, I’ll unpack its definition, and I’ll clarify the way it all comes collectively.
- HOW is the Cramér–Rao Sure utilized to regression fashions? Utilizing an actual life dataset and a linear regression mannequin, we’ll examine the applicability of the Cramér–Rao Sure to regression modeling.
The Cramér–Rao Sure (CRB) could be acknowledged in two methods: as a decrease sure on variance, and as an higher sure on precision.
Whenever you learn it for the primary time, the definition of the Cramér–Rao Sure would possibly really feel like you might be consuming from a hose. However don’t fear…
