Anyone who attended statistical training at the college level has been taught the four rules that you should always abide by, when developing statistical models and predictions: You should only use unbiased estimates You should use estimates that have minimum variance In any optimization problem (for instance to compute an estimate from a maximum likelihood function, or to detect the best, most…
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