Admissible regions for neglecting parameters in linear statistical models

Authors

  • Lubomír Kubáček Palacký University

DOI:

https://doi.org/10.12697/ACUTM.2010.14.02

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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Author Biography

Lubomír Kubáček, Palacký University

Department of Mathematical Analysis and Applications of Mathematics

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Published

2010-12-31

Issue

Vol. 14 (2010)

Section

Articles