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A new nonparametric bivariate test for two sample location problem

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Abstract

A strictly nonparametric bivariate test for two sample location problem is proposed. The proposed test is easy to apply and does not require the stringent condition of affine-symmetry or elliptical symmetry which is required by some of the major tests available for the same problem. The power function of the proposed test is calculated. The asymptotic distribution of the proposed test statistic is found to be normal. The power of proposed test is compared with some of the well-known tests under various distributions using Monte Carlo simulation technique. The power study shows that the proposed test statistic performs better than most of the test statistics for almost all the distributions considered here. As soon as the underlying population structure deviates from normality, the ability of the proposed test statistic to detect the smallest shift in location increases as compared to its competitors. The application of the test is shown by using a data set.

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  1. Department of Mathematics, University of Mississippi, University, MS, 38677, USA

    Sunil K. Mathur

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  1. Sunil K. Mathur
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Correspondence to Sunil K. Mathur.

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Mathur, S.K. A new nonparametric bivariate test for two sample location problem. Stat Methods Appl 18, 375–388 (2009). https://doi.org/10.1007/s10260-008-0095-7

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  • DOI: https://doi.org/10.1007/s10260-008-0095-7

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