Stochastic approximation algorithms are recursive update rules that can be used, among other things, to solve optimization problems and fixed point equations (including standard linear systems) when the collected data is subject to noise. In engineering, optimization problems are often of this type when you do not have a mathematical model of the system (which can be too complex) but still ...
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Utan facit : Kolumner och kommentarer under tiden Box and Cox (1964) developed the transformation. Estimation of any Box-Cox parameters is by maximum likelihood. Box and Cox (1964) offered an example in which the data had the form of survival times but the underlying biological structure was of hazard rates, and the transformation identified this.
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