1994Journal of Statistical Computation and SimulationRequires access

Estimating correlation from categorized bivariate normal data

D. J. Best, D. Graham, J. C. W. Rayner

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Abstract

The polychoric correlation and an approximate maximum likelihood estimator of correlation are compared for count data that are assumed to be derived from an underlying bivariate normal distribution. A related chi squared test for bivariate normality is also examined.

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What this paper is about

The polychoric correlation and an approximate maximum likelihood estimator of correlation are compared for count data that are assumed to be derived from an underlying bivariate normal distribution. A related chi squared test for bivariate normality is also examined.

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Available abstract

The polychoric correlation and an approximate maximum likelihood estimator of correlation are compared for count data that are assumed to be derived from an underlying bivariate normal distribution. A related chi squared test for bivariate normality is also examined.

Key concepts: Bivariate analysis, Correlation, Statistics, Multivariate normal distribution, New normal, Mathematics, Econometrics, Medicine

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