Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/13920
Title: GEOMETRY OF BASIC PROPERTIES ON LINEAR REGRESSION AND OF THE MALLOWS'S Cp STATISTICS
Issue Date: 1-Aug-2017
Publisher: Editora UFLA - Universidade Federal de Lavras - UFLA
Description: A fully geometric approach, employing only vectorial subspaces and orthogonal projections, is applied to the theory of linear models. Basic results, usually proved in textbooks using non trivial matricial algebra, are demonstrated using only geometry. As a rather unusual application, the method is applied to the construction of Mallows's Cp statistic.
URI: http://repositorio.ufla.br/jspui/handle/1/13920
Other Identifiers: http://www.biometria.ufla.br/index.php/BBJ/article/view/20
Appears in Collections:Revista Brasileira de Biometria

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