S2E25: Options for Small Samples
Quantitude
The Limited Information, Non Iterative Methods of Estimation
A lot of recent work has focused on taking maximum likelihood solutions and fixing them. The machinery that underlies a lot of those rescaling kinds of corrections is formidable. So i, again, like them in principle, but i'd like to see the smack down battle royale between that and some of the least squares things before i chose. And it's a very different question to saying, are there other methods entirely that are better than any part of m l?
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