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A Distribution-Free Method for Analysis of Covariance Based on Ranked Data

Eryl A. C. Shirley
Journal of the Royal Statistical Society. Series C (Applied Statistics)
Vol. 30, No. 2 (1981), pp. 158-162
Published by: Wiley for the Royal Statistical Society
DOI: 10.2307/2346386
Stable URL: http://www.jstor.org/stable/2346386
Page Count: 5
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
A Distribution-Free Method for Analysis of Covariance Based on Ranked Data
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Abstract

A method is described for performing analysis of covariance on data which does not satisfy the usual requirements for classical least squares methods. The calculations are based on Kruskal-Wallis mean ranks. An example is given demonstrating how a standard analysis of covariance computer program may be easily adapted to obtain these calculations.

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