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搜索结果: 1-11 共查到Kolmogorov-Smirnov相关记录11条 . 查询时间(0.046 秒)
A popular self-normalization (SN) approach in time series analysis uses the variance of a partial sum as a self-normalizer. This is known to be sensitive to irregularities such as persistent autocorre...
In this paper, we carry out a detailed mathematical study of two theoretical distinguishers based on the Kolmogorov-Smirnov (KS) distance. This includes a proof of soundness and the derivation of cl...
Generic side-channel distinguishers aim at revealing the correct key embedded in cryptographic modules even when few assumptions can be made about their physical leakages. In this context, Kolmogorov-...
Accurate Goodness of Fit tests for the extreme tails of empirical distributions is a very im-portant issue, relevant in many contexts, including geophysics, insurance and finance. We have derived exac...
Construction and evaluation of efficient distinguishers with broad generality is one fundamental problem in the area of side-channel cryptanalysis. Due to their capabilities to deal with general corre...
Construction and evaluation of efficient distinguishers with broad generality is one fundamental problem in the area of side-channel cryptanalysis. Due to their capabilities to deal with general corre...
A theme of recent side-channel research has been the quest for distinguishers which remain effective even when few assumptions can be made about the underlying distribution of the measured leakage tra...
A theme of recent side-channel research has been the quest for distinguishers which remain effective even when few assumptions can be made about the underlying distribution of the measured leakage tra...
This paper deals with two-sample Kolmogorov-Smirnov test and its biasedness. This test is not unbiased in general in case of different sample sizes.
本文在较广泛的一类条件下得到了由m个正交投影产生的PPKolmo-gorov-Smirnov统计量其分布尾部的大样本上界为$C_0(p)\lambda^{(2+\frac{1}{\delta_1})(p-\frac{m+1}{2})m+2(m-1)}\cdotexp(-2\lambda^2)$,其中$\delta_1>0,C_0(P)$为常数.特别,当P为椭球等高分布或有界分布时,$\delta...
门限自回归模型被广泛地用于许多领域.当建立或使用这类模型时,一个重要问题是需要知道是否存在条件异方差.在本文中,我们对这个问题提出一个非参数检验.检验的大样本理论被给出.我们还通过数值模拟研究了检验方法的有限样本性质.结果表示检验有好的功效.经验百分位点还被给出.

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