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

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  • Eryl A. C. Shirley

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.

Suggested Citation

  • Eryl A. C. Shirley, 1981. "A Distribution‐Free Method for Analysis of Covariance Based on Ranked Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 30(2), pages 158-162, June.
    • Handle: RePEc:bla:jorssc:v:30:y:1981:i:2:p:158-162
    DOI: 10.2307/2346386
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    Cited by:

    1. Trajtenberg, Manuel & Yitzhaki, Shlomo, 1989. "The Diffusion of Innovations: A Methodological Reappraisal," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(1), pages 35-47, January.
    2. Anne M. Wilkins & Dana R. Hermanson & Jeffrey R. Cohen, 2016. "Do Compensation Committee Members Perceive Changing CEO Incentive Performance Targets Mid-Cycle to be Fair?," Journal of Business Ethics, Springer, vol. 137(3), pages 623-638, September.

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