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本文主要讨论多组样本下GL-统计量的渐近分布,这里我们使用了Gateaut微分逼近方法,在多组i.i.d.样本下,给出了GL-统计量的渐近正态分布的一组条件,从而拓广了i.i.d样本下GL-统计量的渐近正态分布的性质[1]。 相似文献
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多组样本下GL-统计量的渐近性质 总被引:1,自引:0,他引:1
本文上要讨论多组样本下GL-统计量的渐近分布。这里我们使用了Gâteaut微分逼近方法,在多组i.i.d.样本下,给出了GL-统计量的渐近正态分布的一组条件,从而拓广了i.i.d.样本下GL-统计量的渐近正态分布的性质[1]. 相似文献
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One of the first physics results that CMS will hopefully obtain will be the analysis of heavy quarkonium productions, including the Υ cross-section measurement. Since the Υ production cross-section from p-p collisions is expected to be relatively large, the analysis should be viable with rather small datasets which will be available soon after the start-up of the LHC. This paper describes the methods and plans for measuring the differential cross-section of Y(1S) →μ^+μ- production, by using data to be collected from the CMS detector in the first LHC run. In this study, about 80 thousand Υ are reconstructed corresponding to an integrated luminosity of 6.4 pb^-1 in 10 TeV proton-proton collisions by using Monte Carlo data. The precision of this measurement is estimated to be about 16%, which is limited by the systematic errors. 相似文献
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