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Scoring algorithm, also known as Fisher's scoring, is a form of Newton's method used in statistics to solve maximum likelihood equations numerically, named after Ronald Fisher.
Sketch of derivation, Fisher scoring & Overview
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Scoring algorithm | related to Fisher scoring | In | 0.60 | section |
| Scoring algorithm | related to Fisher scoring | Fisher | 0.60 | section |
| Scoring algorithm | related to Fisher scoring | Fisher Scoring Algorithm | 0.60 | section |
| Scoring algorithm | related to Fisher scoring | Under | 0.60 | section |
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