We give an improved algorithm for calculating the exact null distribution of the two sample Mann Whitney Wilcoxon rank sum statistic. The algorithm modifies the update method of Smid using a minimal linked list which directs calculation of only those intermediate probabilities required for the final value. Using an efficient shortened representation of the list of required intermediate values, ...

The Wilcoxon signed-rank test is exploited for document organization and retrieval in this paper. A novel modeling method for documents and a distance metric between documents are proposed. Both document modeling and document comparisons are based on signed-ranks and are applied to the frequency of occurrence of the document bigrams. A metric using the Wilcoxon signed-rank test exploits these s...

Aims / Objectives: To introduce a statistical test, which is mixture of the one-sample t-test and Wilcoxon signed-rank test depends on sample kurtosis, using data from symmetric univariate distribution with finite variance.
 Study Approach: Computer simulation coverage probabilities power calculations either or based software R.
 Methodology: Data are generated differing sizes Normal,...

PURPOSE To determine whether pupil enlargement during phacotrabeculectomy affects postoperative visual acuity and intraocular pressure (IOP) compared to combined surgery without pupil enlargement. METHODS A retrospective study of 74 patients who underwent combined phacotrabeculectomy with (37 eyes) or without (37 eyes) pupil enlargement was performed. Postoperative outcome measures included b...

SUMMARY This paper proposes the use of Wilcoxon rank sum, Wilcoxon signed rank, and sign statistics for testing certain hypotheses representing zero effects in the linear logistic regression model. A simulation study provides insight into the alternatives for which each test is most powerful. An example with rea 1 data is gi ven for each tes t.

Clustered data arise frequently in many practical applications whenever units are repeatedly observed under a certain condition. One typical example for clustered animal experiments, where several animals share the same cage and should not be assumed to completely independent. Standard methods analysis of such Linear Mixed Models Generalized Estimating Equations—however, checking their assumpti...

As a core step in clustering analysis, distance measurement results can influence accuracy. Existing methods are mostly based on cluster feature information. However, these features may be insufficient and result losing data information for clusters containing number of objects. To improve accuracy, we make full use the distribution characteristics objects clusters, i.e., descriptive statistics...