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Book ChapterDOI

Individual Comparisons by Ranking Methods

Frank Wilcoxon
- 01 Dec 1945 - 
- Vol. 1, Iss: 6, pp 196-202
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TLDR
The comparison of two treatments generally falls into one of the following two categories: (a) a number of replications for each of the two treatments, which are unpaired, or (b) we may have a series of paired comparisons, some of which may be positive and some negative as mentioned in this paper.
Abstract
The comparison of two treatments generally falls into one of the following two categories: (a) we may have a number of replications for each of the two treatments, which are unpaired, or (b) we may have a number of paired comparisons leading to a series of differences, some of which may be positive and some negative. The appropriate methods for testing the significance of the differences of the means in these two cases are described in most of the textbooks on statistical methods.

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Citations
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Supplementary motor seizures mimicking pseudoseizures Some clinical differences

TL;DR: It is found that clinical phenomena may be useful in distinguishing PS from SMS, although the final diagnosis must be documented by neurophysiologic means.
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On the sensitivity of patient-specific IMRT QA to MLC positioning errors.

TL;DR: Considering the significant dosimetric effect such MLC errors could cause, patient‐specific IMRT QA should be combined with a periodic MLC QA program in order to guarantee the accuracy of IMRT delivery.
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Features, Color Spaces, and Boosting: New Insights on Semantic Classification of Remote Sensing Images

TL;DR: It turns out that boosting in combination with the proposed RQE feature set outperforms all baseline features while still remaining computationally efficient.
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Nonparametric CUSUM and EWMA Control Charts for Detecting Mean Shifts

TL;DR: In this paper, two nonparametric analogs of the CUSUM and EWMA control charts based on the Wilcoxon rank-sum test are proposed for detecting process mean shifts.
References
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Journal ArticleDOI

The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance

TL;DR: The use of ranks to avoid the assumption of normality implicit in the analysis of variance has been studied in this article, where the use of rank to avoid normality is discussed.
Book

The Design of Experiments

R. A. Fisher
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