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Probability Plotting Methods for the Analysis of Data

M. B. Wilk and R. Gnanadesikan
Biometrika
Vol. 55, No. 1 (Mar., 1968), pp. 1-17
Published by: Oxford University Press on behalf of Biometrika Trust
DOI: 10.2307/2334448
Stable URL: http://www.jstor.org/stable/2334448
Page Count: 17
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Probability Plotting Methods for the Analysis of Data
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Abstract

This paper describes and discusses graphical techniques, based on the primitive empirical cumulative distribution function and on quantile (Q - Q) plots, percent (P - P) plots and hybrids of these, which are useful in assessing a one-dimensional sample, either from original data or resulting from analysis. Areas of application include: the comparison of samples; the comparison of distributions; the presentation of results on sensitivities of statistical methods; the analysis of collections of contrasts and of collections of sample variances; the assessment of multivariate contrasts; and the structuring of analysis of variance mean squares. Many of the objectives and techniques are illustrated by examples.

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