Kendall Rank Correlation Let (X1, Y1), · · · , (Xn, Yn) be a bivariate random sample of size n. The Pearson correlation coefficient provides an optimal measure of the degree of association between the X’s and the Y ’s when the sample is drawn from a bivariate normal distribution. The Pearson correlation coefficient is reasonably robust for many other distributions as well. The Kendall correlati...

In this paper two nonparametric tests for monotonic trend detection are compared with respect to their power and accuracy. The importance of comparing powers at equal empirical signiicance levels rather than nominal levels, is stressed. Therefore, an appropriate graphical method is presented. The eeect of the sampling frequency is also assessed using a trajectory representation that visualizes ...

Discovering promising research themes in a scientific domain by evaluating semantic information extracted from bibliometric databases represents challenging task for Natural Language Processing (NLP). While existing NLP methods generally characterize the topics using unique key terms, we take step further more accurately modeling as finite sets of terms. The proposed approach involves two stage...

Global warming is a result of the greenhouse effect caused by gases released into atmosphere; It usually expressed as an increase in measured average temperatures. In addition to this, extreme weather events such droughts, floods, and severe hurricanes become more frequent, specified severe. The effects global climate change on hydrological meteorological variables are increasing day day. There...

the interaction between sea and atmosphere has profound effects on the regions climate. meanwhile, the sea surface temperature is considered as one of the most effective components of water bodies, and the controller of many atmospheric behaviors. because of the importance of sea surface temperatures effects on atmospheric elements and also given the role of global warming on land and sea surfa...