
	Journal of Applied Sciences
	Year: 2011 \| Volume: 11 \| Issue: 18 \| Page No.: 3328-3332 DOI: 10.3923/jas.2011.3328.3332

Significant Tests of Coefficient Multiple Regressions by using Permutation Methods

Ali Shadrokh

Abstract: Tests of significance of a single partial regression coefficient in a multiple regression model are often made in situations where the standard assumptions underlying the probability calculation (for example assumption of normally of random error term) do not hold. When the random error term fails to fulfill some of these assumptions, one need resort to some other nonparametric methods to carry out statistical inferences. Permutation methods are a branch of nonparametric methods. This study compared empirical type one error of different permutation strategies that proposed for testing nullity of a partial regression coefficient in a multiple regression model, using simulation and show that the type one error of Freedman and Lane’s strategy is lower to than the other methods.

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How to cite this article:

Ali Shadrokh , 2011. Significant Tests of Coefficient Multiple Regressions by using Permutation Methods. Journal of Applied Sciences, 11: 3328-3332.

DOI: 10.3923/jas.2011.3328.3332

URL: https://scialert.net/abstract/?doi=jas.2011.3328.3332

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