We propose different nonparametric tests for multivariate data and derive their asymptotic distribution for unbalanced designs in which the number of factor levels tends to infinity (large a, small ni case). Quasi gratis, some new parametric multivariate tests suitable for the large a asymptotic case are also obtained. Finite sample performances are investigated and compared in a simulation stu...

Excepting the Peripheral and Central Nervous Systems, the Immune System is the most complex of somatic systems in higher animals. This complexity manifests itself at many levels from the molecular to that of the whole organism. Much insight into this confounding complexity can be gained through computational simulation. Such simulations range in application from epitope prediction through to th...

With the recent advancement of gigabit fiber communication and the photonic distribution of microwave signals, there is a growing need to characterize the high-speed optical signals found in such systems. This task is typically accomplished with a high-speed photodetector followed by an instrument such as a sampling oscilloscope, a radio frequency (RF) spectrum analyzer, or a vector network ana...

in the mammalian, there are three ncx genes (ncx1, ncx2, ncx3), which their three proteins are differentially expressed in distinct regions of the central nervous system, where they might underlie different physiological and pathophysiological functions. ncx is a nine-transmembrane protein which is distributed in the brain widely. ncx operates in a bidirectional way, and exchanges ca2+ and na+ ...

We address the pairing problem for two pairs of fermions in many levels of a potential well. We introduce a new number, referred to as ‘like-seniority’, which provides a measure of the degree of collectivity of the states. We point out that two critical values of the coupling constant might exist and we explore the behaviour of the energy, the wave functions and the transition amplitudes, in pa...

Dense systems of linear equations are quite common in many science and engineering applications. Such linear systems place extreme storage and computational demands on computer resources and, in many cases, may severely limit the subsequent analysis. A dense out-of-core solver (DOCS) that operates on a partitioned coefficient matrix can reduce the in-core storage requirements of the linear syst...