The spatial sign covariance matrix (SSCM), also known as the normalized sample (NSCM), has been widely used in signal processing a robust alternative to (SCM). It is well-known that SSCM does not provide consistent estimates of eigenvalues shape (normalized scatter matrix). To alleviate this problem, we propose BASIC (Bias Adjusted SIgn Covariance), which performs an approximate bias correction...

durbin's rank test is widely used for testing treatment effects in balanced incomplete block designs (bibds)which have wide applications in sensory analysis. this test is failed for bibds when ties data occur. an adjusted version of durbin rank test for this kind of data is given to solve this problem. chi-square approximation, which is commonly used for this test, is not adequate for small bib...

Purpose – This paper aims to identify key factors that impact operating room (OR) utilization and evaluate different scenarios on OR performance. Design/methodology/approach – Five months of data were collected. stepwise regression and best subset models were used to select factors and generate regression model for OR utilization. We further used simulation to test the influence of case duratio...

Distributed denial-of-service attack is one of the greatest threats to the Internet today. One of the biggest diiculties in defending against this attack is that attackers always use incorrect, or \spoofed" IP source addresses to disguise their true origin. In this paper, we present a packet marking algorithm which allows the victim to traceback the approximate origin of spoofed IP packets. The...