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• W2019273819 abstract "SUMMARY This paper considers properties of the normal theory test for independence applied to observations from bivariate distributions constrained to have normal marginals. Coordinate transformations to normality are applied to a variety of non-normal distributions (X, Y) and it is found that the normal theory test for independence is more powerful when applied to the transformed vector than when (X, Y) is used. The general transformation of an arbitrary continuous variate to standard normality is discussed and a method for obtaining an accurate estimator of this transformation is presented. The method is applied to several sets of real data and improvement is demonstrated in terms of agreement with previously established theory." @default.
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• W2019273819 date "1969-01-01" @default.
• W2019273819 modified "2023-09-26" @default.
• W2019273819 title "Co-ordinate transformations to normality and the power of normal tests for independence" @default.
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• W2019273819 doi "https://doi.org/10.1093/biomet/56.1.139" @default.
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