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[Correlate non-Gaussian measurement].

John O’Quigley

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Abstract

A general approach for measuring correlation in non-normal populations is presented. Two ways of tackling the problem are considered. The first relies on an explicit parametric model and some non-elementary notions from probability theory. The second, which relies on a wide class of bivariate laws of which the bivariate normal one is a special case, is very simple to put into practice.

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What this paper is about

A general approach for measuring correlation in non-normal populations is presented. Two ways of tackling the problem are considered. The first relies on an explicit parametric model and some non-elementary notions from probability theory. The second, which relies on a wide class of bivariate laws of which the bivariate normal one is a special case, is very simple to put into practice.

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Available abstract

A general approach for measuring correlation in non-normal populations is presented. Two ways of tackling the problem are considered. The first relies on an explicit parametric model and some non-elementary notions from probability theory. The second, which relies on a wide class of bivariate laws of which the bivariate normal one is a special case, is very simple to put into practice.

Key concepts: Bivariate analysis, Multivariate normal distribution, Simple (philosophy), Parametric statistics, Gaussian, Class (philosophy), Mathematics, Applied mathematics

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