20 research outputs found

    On some nonparametric tests for profile analysis of several multivariate samples

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    AbstractFor profile analysis of independent samples from several multivariate populations, a nonparametric analog of the hypothesis of parallelism of population profiles is formulated. A class of asymptotically distribution-free statistics is offered to test this hypothesis. These are based on generalized U statistics and are in some sense modifications of statistics offered previously by one of the authors for testing the homogeneity hypothesis. Consistency of these statistics is established for suitable alternatives and also asymptotic power is investigated

    Optimization of Neutrino Oscillation Parameters using Differential Evolution

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    We combine Differential Evolution, a new technique, with the traditional grid based method for optimization of solar neutrino oscillation parameters Δm2\Delta m^2 and tan2θ\tan^{2}\theta for the case of two neutrinos. The Differential Evolution is a population based stochastic algorithm for optimization of real valued non-linear non-differentiable objective functions that has become very popular during the last decade. We calculate well known chi-square (χ2\chi^2) function for neutrino oscillations for a grid of the parameters using total event rates of chlorine (Homestake), Gallax+GNO, SAGE, Superkamiokande and SNO detectors and theoretically calculated event rates. We find minimum χ2\chi^2 values in different regions of the parameter space. We explore regions around these minima using Differential Evolution for the fine tuning of the parameters allowing even those values of the parameters which do not lie on any grid. We note as much as 4 times decrease in χ2\chi^2 value in the SMA region and even better goodness-of-fit as compared to our grid-based results. All this indicates a way out of the impasse faced due to CPU limitations of the larger grid method.Comment: 10 pages, 5 figures and 2 table

    Capacity Bounds for Multiresource Queues

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