The University of Southampton
University of Southampton Institutional Repository

Correlations genuine and spurious in Pearson and Yule

Correlations genuine and spurious in Pearson and Yule
Correlations genuine and spurious in Pearson and Yule
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.
0883-4237
364-376
Aldrich, John
a8ab8666-24a2-4d98-83bb-6053438c00ee
Aldrich, John
a8ab8666-24a2-4d98-83bb-6053438c00ee

Aldrich, John (1995) Correlations genuine and spurious in Pearson and Yule. Statistical Science, 10 (4), 364-376. (doi:10.1214/ss/1177009870).

Record type: Article

Abstract

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.

Text
1177009870 - Version of Record
Available under License Other.
Download (2MB)

More information

Published date: November 1995

Identifiers

Local EPrints ID: 32919
URI: http://eprints.soton.ac.uk/id/eprint/32919
ISSN: 0883-4237
PURE UUID: 065b6493-0c8f-47e7-af20-47aba406199f

Catalogue record

Date deposited: 22 Jun 2007
Last modified: 15 Mar 2024 07:40

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×