Springer series in statistics the linear model and hypothesis
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This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent matrices, thus largely avoiding the need to involvematrix ranks. It is shown that all the hypotheses encountered are either linear or asymptotically linear, and that all the underlying models used are either exactly or asymptotically linear normal models. This equivalence can be used, for example, to extend the concept of orthogonality to other models in the analysis of variance, and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generally applies.
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Taal: en
Bindwijze: E-book
Oorspronkelijke releasedatum: 08 oktober 2015
Aantal pagina's: 205
Ebook Formaat: Adobe ePub
Illustraties: Nee
Hoofdauteur: George Seber
Tweede Auteur: George A. F. Seber
Co Auteur: Seber George
Hoofduitgeverij: Springer
Lees dit ebook op: Android (smartphone en tablet)
Lees dit ebook op: Kobo e-reader
Lees dit ebook op: Desktop (Mac en Windows)
Lees dit ebook op: iOS (smartphone en tablet)
Lees dit ebook op: Windows (smartphone en tablet)
Studieboek: Ja
Verpakking hoogte: 0 mm
EAN: 9783319219301