A simple test is proposed for examining the correctness of a given completely specified response function against unspecified general alternatives in the context of univariate regression. The usual diagnostic tools based on residual plots are useful but heuristic. We introduce a formal statistical test supplementing the graphical analysis. Technically, the test statistic is the maximum length of the sequences of ordered (with respect to the covariate) observations that are consecutively overestimated or underestimated by the candidate regression function. Note that the testing procedure can cope with heteroscedastic errors and no replicates. Recursive formulae allowing one to calculate the exact distribution of the test statistic under the null hypothesis and under a class of alternative hypotheses are given. (C) 2010 Academie des sciences. Published by Elsevier Masson SAS. All rights reserved.
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Univ Santiago de Compostela, Dept Estat & Invest Operat, Santiago De Compostela, Galicia, SpainUniv Santiago de Compostela, Dept Estat & Invest Operat, Santiago De Compostela, Galicia, Spain
Conde-Amboage, Mercedes
Sanchez-Sellero, Cesar
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Univ Santiago de Compostela, Dept Estat & Invest Operat, Santiago De Compostela, Galicia, SpainUniv Santiago de Compostela, Dept Estat & Invest Operat, Santiago De Compostela, Galicia, Spain
Sanchez-Sellero, Cesar
Gonzalez-Manteiga, Wenceslao
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Univ Santiago de Compostela, Dept Estat & Invest Operat, Santiago De Compostela, Galicia, SpainUniv Santiago de Compostela, Dept Estat & Invest Operat, Santiago De Compostela, Galicia, Spain