Purpose. To carry out the surface water quality assessment of Southern Bug river basin and to investigate ability self-purify. Methods. Statistical calculations, system analysis. Results. The long-term dynamic integrated index values during 2000-2016 was heterogeneous, but general trend indicated a slight increase due sanitary-ecological pollution index. highest level observed in Khmelnytsky ci...

Abstract The Baltic Sea is the youngest sea on our planet, environment of considered to be unique and fragile. It affected by various human activities resulting in impairment water quality. Riverine nutrient (nitrogen phosphorus) loads are among major causes eutrophication Sea. This study examines temporal trends discharge, total phosphorus (TP) orthophosphate-phosphorus (PO4-P) concentrations ...

Generally, multiple statistical analysis methods can be applied for certain kind of data, and conclusion could differ, depending on the selected statistical method. Therefore, it is necessary to fully understand the performance of each statistical method and to examine which method is appropriate to use and to standardize statistical methods for toxicity studies to be carried out routinely. Sev...

This paper introduces nonparametric U-statistics for testing the curvature (e.g., linearity, concavity, or convexity) of an unknown regression function. The U-statistics are based on pairwise slopes in the data. No choice of smoothing parameters is required for the global version of the statistics or their (asymptotic) standard errors, making them simple to compute. The proposed tests are analo...

In this paper, we show how ElectroEncephaloGraphic (EEG) and MagnetoEncephaloGraphic (MEG) data can be analyzed statistically using nonparametric techniques. Nonparametric statistical tests offer complete freedom to the user with respect to the test statistic by means of which the experimental conditions are compared. This freedom provides a straightforward way to solve the multiple comparisons...

To decide whether a given sequence is “truely” random, or independent and identically distributed, we need to resort to nonparametric tests for randomness. Six tests: the ordinary run test, the sign test, the runs up and down test, the Mann-Kendall test, the Bartels’ rank test and the test based on entropy estimators are introduced in this report and their weaknesses are analyzed. Combining the...

Nonparametric correlation measures at the Kendall and Spearman correlation are widely used in the behavioral sciences. These measures are often said to be robust, in the sense of being resistant to outlying observations. In this note we formally study their robustness by means of their influence functions. Since robustness of an estimator often comes at the price of a loss in precision, we comp...