Description: Linear Model and Hypothesis : A General Unifying Theory, Hardcover by Seber, George A. F., ISBN 3319219294, ISBN-13 9783319219295, Like New Used, Free shipping in the US
This bookprovidesa 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 asymptoticallylinear, 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 modelsin the analysis of variance,and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generallyapplies.
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Book Title: Linear Model and Hypothesis : A General Unifying Theory
Number of Pages: IX, 205 Pages
Language: English
Publication Name: Linear Model and Hypothesis : a General Unifying Theory
Publisher: Springer International Publishing A&G
Subject: Probability & Statistics / Multivariate Analysis, Probability & Statistics / General, Statistics
Publication Year: 2015
Item Weight: 158.7 Oz
Type: Textbook
Item Length: 9.3 in
Author: George Seber
Subject Area: Mathematics, Social Science
Series: Springer Series in Statistics Ser.
Item Width: 6.1 in
Format: Hardcover
