Original sentence: A ranklet R is defined as the normalization of MW in the range [-1,+1]:.A ranklet is an orientation-selective non-parametric feature which is based on the computation of Mann–Whitney–Wilcoxon (MWW) rank-sum test statistics.It assesses whether two samples of observations, usually referred as Treatment T and Control C, come from the same distribution but do not have to be normally ditributed.Rank-based (non-parametric) features have become popular in the field of Image Processing for their robustness in detecting outliers and invariance to monotonic transformations such as brightness, contrast changes and gamma correction.The MWW is a combination of Wilcoxon rank-sum test and Mann–Whitney U-Test.The Wilcoxon rank-sum statistics  is determined as:.where Rank of element i and
Edited sentence: A ranklet R is defined as the normalization of MW in the range [−1, +1]:.In statistics, a ranklet is an orientation-selective non-parametric feature which is based on the computation of Mann–Whitney–Wilcoxon (MWW) rank-sum test statistics.It assesses whether two samples of observations, usually referred as Treatment T and Control C, come from the same distribution but do not have to be normally distributed.Rank-based (non-parametric) features have become popular in the field of image processing for their robustness in detecting outliers and invariance to monotonic transformations such as brightness, contrast changes and gamma correction.The MWW is a combination of Wilcoxon rank-sum test and Mann–Whitney U-test.The Wilcoxon rank-sum statistics Ws is determined as: