Smooth extensions of Pearsons's product moment correlation and Spearman's rho
J. C. W. Rayner and
D. J. Best
Statistics & Probability Letters, 1996, vol. 30, issue 2, 171-177
Abstract:
A smooth model for doubly ordered two-way contingency tables with no fixed marginals is given and the score test of the hypothesis of independence derived. For the saturated model the score statistic is the familiar Pearon's Xp2, and the first component is simply related to Pearson's product moment correlation. The higher-order components provide the promised extensions. They provide powerful direction tests and are easy to use and interpret, assessing if the bivariate moments of the data are consistent with what might be expected under the independence model. If ranks are used the score statistic is still Xp2, and the first component is simply related to Spearman's rho. The higher-order components again provide the promised extensions. In both cases the components permit an informative and close scrutiny of the data.
Keywords: Categorical; data; Components; Orthonormal; polynomial; Partition; Sparse; data; Two-way; data (search for similar items in EconPapers)
Date: 1996
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0167-7152(95)00216-2
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:stapro:v:30:y:1996:i:2:p:171-177
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().