# Sign and Wilcoxon tests for quadratic versus cubic regression.

Trabajos de Estadística e Investigación Operativa (1984)

- Volume: 35, Issue: 1, page 112-120
- ISSN: 0041-0241

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topGore, A. P., and Madhava Rao, K. S.. "Sign and Wilcoxon tests for quadratic versus cubic regression.." Trabajos de Estadística e Investigación Operativa 35.1 (1984): 112-120. <http://eudml.org/doc/40754>.

@article{Gore1984,

abstract = {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 their computational simplicity appears remarkable.},

author = {Gore, A. P., Madhava Rao, K. S.},

journal = {Trabajos de Estadística e Investigación Operativa},

keywords = {Regresión cuadrática; Estudio estadístico; Parámetros; nonparametric regression; sign test; Wilcoxon tests; null hypothesis of quadratic regression; cubic regression; Pitman efficiency},

language = {eng},

number = {1},

pages = {112-120},

title = {Sign and Wilcoxon tests for quadratic versus cubic regression.},

url = {http://eudml.org/doc/40754},

volume = {35},

year = {1984},

}

TY - JOUR

AU - Gore, A. P.

AU - Madhava Rao, K. S.

TI - Sign and Wilcoxon tests for quadratic versus cubic regression.

JO - Trabajos de Estadística e Investigación Operativa

PY - 1984

VL - 35

IS - 1

SP - 112

EP - 120

AB - 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 their computational simplicity appears remarkable.

LA - eng

KW - Regresión cuadrática; Estudio estadístico; Parámetros; nonparametric regression; sign test; Wilcoxon tests; null hypothesis of quadratic regression; cubic regression; Pitman efficiency

UR - http://eudml.org/doc/40754

ER -

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