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BY-NC-ND 3.0 license Open Access Published by De Gruyter November 11, 2009

Testing the general linear hypothesis Via K. Pearson’s chi-squared statistic

  • Lynn LaMotte EMAIL logo
From the journal Mathematica Slovaca

Abstract

In a linear model Y ∼ (Xβ, σ 2 I), powers of tests of H0: H′Xβ= 0 are developed following Pearson’s (1900) formulation. The class considered comprises all tests based on linear statistics A′ Y that have expected value 0 under H0. The standard F-statistic, which is in this class, has good power properties, but others may be preferred in some settings.

[1] GHOSH, B. K.: Some monotonicity theorems for chi-square, F, and t distributions with applications, J. Roy. Statist. Soc. Ser. B 35 (1973), 480–492. Search in Google Scholar

[2] PEARSON, K.: On the criterion that a given set of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling, Phil. Mag. (5) 50 (1900), 157–175. 10.1080/14786440009463897Search in Google Scholar

Published Online: 2009-11-11
Published in Print: 2009-12-1

© 2009 Mathematical Institute, Slovak Academy of Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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