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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Linear Model and Hypothesis: A General Unifying Theory

The Linear Model and Hypothesis: A General Unifying Theory

Seber, George

Hardcover

Series: Springer Statistics

General SociologyProbability & Statistics

ISBN10: 3319219294
ISBN13: 9783319219295
Publisher: Springer Nature
Published: Oct 16 2015
Pages: 205
Weight: 1.06
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English

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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