Analysis of Means—A Review

Abstract

Analysis of means (ANOM) is a graphical technique initially developed for testing the equality of several population means. Later, ANOM was extended for testing the equality of several (i) treatment effects, (ii) interaction effects, (iii) linear contrasts, (iv) proportions, (v) counts, (vi) variances, (vii) correlation coefficients. ANOM procedures reveal the statistical significance as well as the practical significance of samples being compared. Hence, ANOM procedures are vital aids in the search-and-identification process. ANOM procedures are highly useful in general and in particular to the practitioners in decision making. This paper presents a brief review of work done so far along with the bibliography in this area.

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