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Correlations Genuine and Spurious in Pearson and Yule
Vol. 10, No. 4 (Nov., 1995), pp. 364-376
Published by: Institute of Mathematical Statistics
Stable URL: http://www.jstor.org/stable/2246135
Page Count: 13
You can always find the topics here!Topics: Correlations, Causation, Statism, Poverty, Time series, Correlation coefficients, Causality, Inference, Grammar, Mortality
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Karl Pearson and G. Udny Yule developed the main interpretations of correlation used by statisticians for the past century or so. They also examined a number of situations in which the correlation inference was unsatisfactory. This paper considers the development of their ideas on both genuine and spurious correlations and makes some reference to related modern work.
Statistical Science © 1995 Institute of Mathematical Statistics