to evaluate genotype × environment interaction (gei) of grapevine, 20 genotypes of grapevines with russian origin were evaluated at one location in urmia and four locations in takestan (two locations under full irrigation and two locations under drought stress). this research was performed in a randomized complete block design with three replications and three vines in each plot, in 2012-2013 s...

We present a case study of a difficult real-world pattern recognition problem: predicting hard drive failure using attributes monitored internally by individual drives. We compare the performance of support vector machines (SVMs), unsupervised clustering, and non-parametric statistical tests (rank-sum and reverse arrangements). Somewhat surprisingly, the rank-sum method outperformed the other m...

The literature on non-parametric production analysis has formulated tests for profit maximizing behavior that do not require a parametric specification of technology. Negative test results have conventionally been interpreted as inefficiency, or have been attributed to data perturbations. In this paper, we exploit the possibility that negative test results reveal violations of the underlying ne...

Methods Analytic descriptive study. 89 patients with diagnosis SLE (1986 ACR criteria) from a rheumatology center at a pediatric hospital were evaluated at the time of diagnosis and twelve months after. Medical records were reviewed registering the following variables: score SLEDAI, Antinuclear antibodies (ANAs), Anti-DNA antibodies and complement C3 and C4 levels. Analysis was done through par...

Strandberg and Iglewicz (2012) propose a test that detects deviations from randomness, without an a priori distributional assumption. This nonparametric test is designed to detect deviations of neighboring observations from randomness, especially when the dataset consists of time series observations. The proposed test is especially effective for larger datasets. In our simulation study, this te...

Non-parametric paired analyses are approached through the same logic as the parametric paired t-tests: a 2 sample paired analysis can be reduced to a 1 sample test by creating a single distribution of the differences between each pair. If the distribution of the differences are nonnormal, and cannot be normalized by transforming the data to some other ratio scale, a 1 sample non-parametric test...