The full rank case for a linearizable model.
Breaz, Nicoleta, Breaz, Daniel (2002)
Acta Universitatis Apulensis. Mathematics - Informatics
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Breaz, Nicoleta, Breaz, Daniel (2002)
Acta Universitatis Apulensis. Mathematics - Informatics
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Eva Fišerová (2006)
Discussiones Mathematicae Probability and Statistics
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A linear regression model, when a design matrix has not full column rank and a covariance matrix is singular, is considered. The problem of testing hypotheses on mean value parameters is studied. Conditions when a hypothesis can be tested or when need not be tested are given. Explicit forms of test statistics based on residual sums of squares are presented.
Martin Schindler (2008)
Applications of Mathematics
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We derive the two-sample Kolmogorov-Smirnov type test when a nuisance linear regression is present. The test is based on regression rank scores and provides a natural extension of the classical Kolmogorov-Smirnov test. Its asymptotic distributions under the hypothesis and the local alternatives coincide with those of the classical test.
Konrad Furmańczyk (2014)
Applicationes Mathematicae
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The paper considers the problem of consistent variable selection in parametic models with the use of stepdown multiple hypothesis procedures. Our approach completes the results of Bunea et al. [J. Statist. Plann. Inference 136 (2006)]. A simulation study supports the results obtained.
Jana Jurečková (1983)
Commentationes Mathematicae Universitatis Carolinae
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