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 == Let Y 1 , … , Y n {\displaystyle Y_{1},\ldots ,Y_{n}} be random variables, independent and identically distributed with twice differentiable p.d.f.
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 == Let Y 1 , … , Y n {\displaystyle Y_{1},\ldots ,Y_{n}} be random variables, independent and identically distributed with twice differentiable p.d.f.
Source: Wikipedia "Scoring algorithm" · CC BY-SA 4.0
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