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...

The Pre-Whitening (PW), the Trend-Free Pre-Whitening (TFPW) and the Modified Trend-Free PreWhitening (MTFPW) were developed to remove the influence of serial correlations on the MannKendall trend test. The main purpose of this study was to compare the performance of these algorithms for evaluating trends in auto-correlated series. The PW, TFPW and MTFPW were also applied to the monthly values o...

We apply the Artificial Immune System (AIS) technology to the Collaborative Filtering (CF) technology when we build the movie recommendation system. Two different affinity measure algorithms of AIS, Kendall tau and Weighted Kappa, are used to calculate the correlation coefficients for this movie recommendation system. From the testing we think that Weighted Kappa is more suitable than Kendall t...

This study investigates the trend in monthly and annual rainfall, minimum maximum temperature (Tmin Tmax) using Mann–Kendall (MK) test Sen’s slope (SS) method evaluates significance of their variability for maize, sorghum millet yields northern Togo employing multiple regression analysis. The historical data Kara, Niamtougou, Mango Dapaong weather stations from 1977 to 2012 were used. Four non-...

For a given bivariate survival function F, we study the relations between the set of the level curves of F and the Kendall distribution. Then we characterize the survival models simultaneously admitting a specified Kendall distribution and a specified set of level curves. Attention will be restricted to exchangeable survival models. 2009 Elsevier Inc. All rights reserved.

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...

http://dx.doi.org/10.1016/j.eswa.2013.12.050 0957-4174/ 2014 Elsevier Ltd. All rights reserved. ⇑ Corresponding author. Tel.: +44 7873729666, +966 506620227. E-mail addresses: [email protected], [email protected] (M. Maashi), [email protected] (E. Özcan), graham.kendall@ nottingham.edu.my (G. Kendall). 1 Tel.: +6 (03) 8924 8306. Mashael Maashi a,⇑, Ender Özcan , Graham ...

BACKGROUND We aimed to assess the high-risk group for suicide using different classification methods includinglogistic regression (LR), decision tree (DT), artificial neural network (ANN), and support vector machine (SVM). METHODS We used the dataset of a study conducted to predict risk factors of completed suicide in Hamadan Province, the west of Iran, in 2010. To evaluate the high-risk grou...