TL;DRAbstract
A simple model of the m-cornered hat estimation problem is set up and solved by the method of maximum likelihood. The method is compared by simulation to a least-squares method of Barnes and is shown to be inferior to it on the basis of mean square error. A bootstrap method of computing estimator performance is presented.
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A simple model of the m-cornered hat estimation problem is set up and solved by the method of maximum likelihood. The method is compared by simulation to a least-squares method of Barnes and is shown to be inferior to it on the basis of mean square error. A bootstrap method of computing estimator performance is presented.
Keywords
Maximum likelihoodEstimatorStatisticsLeast-squares function approximationMathematicsMaximum likelihood sequence estimationSet (abstract data type)Simple (philosophy)
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