rH..il:ribllltlton.-tr'ee two-sample test is proposed tha t is an extension of the Wilcoxon test with arbitrary censoring on the right. The test is conditional on the pattern ~ha.t~TV:&l>ll~l..lll. The null hypothesis is H0 : F1(t) = F2(t) (t ~ T) agai nst either H1 : F1(t) < F 2(t) (t ~ T) or H2 : F1(t) < F2(t) or F1(t) > F2 (t) (t ~ T), '~here .l\,F2 are cumulative distributions (discrete or ...

In psychological research, comparisons between two groups are frequently made to demonstrate that one group exhibits higher values. Although Welch’s unequal variances t-test has become the preferred parametric test for this purpose, surpassing Student’s equal t-test, Wilcoxon–Mann–Whitney remains predominant nonparametric approach despite sharing similar limitations with t-test. Specifically, i...

this paper reports a survey and case study research outcomes on the application of data envelopment analysis (dea) to the ranking method of european foundation for quality management (efqm) business excellence model in iran’s automotive industry and improving benchmarking process after assessment. following the global trend, the iranian industry leaders have introduced the efqm practice to thei...

In a two-sample location-scalemodelwith censored data, the logrank test is asymptotically efficient when the error distribution is extreme minimum value. On the other hand, the Wilcoxon test is asymptotically efficient when the error distribution is logistic. We propose a pretest for choosing between logrank and Wilcoxon by determining if the error distribution is closer to extrememinimum value...

The two-sample Wilcoxon test has been widely used in a broad range of scientific research, including economics, due to its good efficiency, robustness against parametric distributional assumptions, and the simplicity with which it can be performed. While the two-sample Wilcoxon test, by virtue of being both a rank and hence a permutation test, controls the exact probability of a Type 1 error un...