Admissible regions for neglecting parameters in linear statistical models
Keywords:
linear model, constraints, underparametrization
Abstract
Large number of parameters in linear statistical models can make their interpretation or subsequent handling difficult. The aim of
the paper is to find admissible regions for neglecting a chosen group of parameters.
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