Sign and Wilcoxon tests for quadratic versus cubic regression.
A. P. Gore, K. S. Madhava Rao (1984)
Trabajos de Estadística e Investigación Operativa
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In this paper sign and Wilcoxon tests for testing the null hypothesis of quadratic regression versus the alternative, cubic regression are proposed. It is shown that in the case of a simple design consisting of multiple Y observations at each of the four levels of x, the proposed tests perform reasonably well as compared to their parametric competitors, while in the case of a general design consisting of a large number of levels of x, the loss in Pitman efficiency is considerable. However...