Extreme behavior of bivariate elliptical distributions

This paper exploits a stochastic representation of bivariate elliptical distributions in order to obtain asymptotic results which are determined by the tail behavior of the generator. Under certain specified assumptions, we present the limiting distribution of componentwise maxima, the limiting upper copula, and a bivariate version of the classical peaks over threshold result.     

Singularity spectrum of fractal signals from wavelet analysis: Exact results

The multifractal formalism for singular measures is revisited using the wavelet transform. For Bernoulli invariant measures of some expanding Markov maps, the generalized fractal dimensions are proved to be transition points for the scaling exponents of some partition functions defined from the wavelet transform modulus maxima. The generalization of this formalism to fractal signals is established for the class of distribution functions of these singular invariant measures. It is demonstrated that the Hausdorff dimensionD(h) of the set of singularities of Hölder exponenth can be directly determined from the wavelet transform modulus maxima. The singularity spectrum so obtained is shown to be not disturbed by the presence, in the signal, of a superimposed polynomial behavior of ordern, provided one uses an analyzing wavelet that possesses at leastN>n vanishing moments. However, it is shown that aC behavior generally induces a phase transition in theD(h) singularity spectrum that somewhat masks the weakest singularities. This phase transition actually depends on the numberN of vanishing moments of the analyzing wavelet; its observation is emphasized as a reliable experimental test for the existence of nonsingular behavior in the considered signal. These theoretical results are illustrated with numerical examples. They are likely to be valid for a large class of fractal functions as suggested by recent applications to fractional Brownian motions and turbulent velocity signals.     

非对称信息条件下供应链管理质量控制策略

研究非对称信息条件下供应链管理的质量控制问题·建立了供应链合作关系中的购买商和供应商的质量成本模型,其中包括供应商的生产理性约束条件·分析了非对称信息条件下购买商与供应商质量成本的委托代理关系,质量水平的不可观测性则表现为供应商的信息隐匿·实质上,这是一个委托代理中的逆向选择问题·购买商的质量成本是目标函数,供应商质量成本的一阶条件转化为状态空间方程,运用极大值原理求解该问题的最优质量控制·并进行了非对称信息条件下供应链的质量控制仿真实验·     

大螺旋藻氨基酸成分的研究

通过对大螺旋藻的游离氨基酸和全氨基酸的组成成分分析表明大螺旋藻有较高的氨基酸营养，全氨基酸成分与极大螺旋藻及钝顶螺旋藻的成分很相似．因此大螺旋藻与极大螺旋藻、钝顶螺旋藻同样，可被开发利用．     

小波变换方法去除体表子宫电信号中母体心电干扰

母体心电干扰严重影响了EHG信号的质量，为了解决以往算法中不能有效区分MECG干扰和EHG信号的问题，利用MECG干扰的波形特点，采用了基于小波变换的奇点检测以及模型极大值信号重建的方法去除EHG信号中的MECG干扰．该方法对EHG信号无影响，经临床实验取得了很好的去噪效果．该算法计算简单，可以实现EHG信号的实时处理，该研究的结果还可以用于被ECG信号污染的其它生理电信号的去噪。     

螺旋藻细胞脱水与再吸纳引起的谱学变化

极大螺旋藻活细胞经过冻干脱水处理，得到脱水的干细胞，在避光条件下，使干细胞再吸纳水，测定处理前后螺旋藻细胞的谱学性质．结果表明：鲜活细胞经脱水处理其光谱发生了明显变化，再吸水后从吸收光谱可以观察到一个恢复的过程．荧光发射光谱则发现，再吸水14h后，藻细胞的光合系数(PSI)逐渐闭合，使传递到PSI的能量发生转移，最终以捕光色素藻蓝蛋白的发射释放出来．     

大獭蛤低温保活技术的初步研究

在确定大獭蛤(Lutmria maxima jonas)生态冰温的基础上,研究降温方法、暂养时间、温湿度控制、氧气供应等条件对大獭蛤低温保活的影响.实验结果表明,大獭蛤的结冰点为-1.9℃,生态冰温为5.0～-1.9℃;在3.0～5.0℃温度条件下保活效果最好,保活3d后存活率为90%;维持一定的湿度和供氧是大獭蛤低温保活的重要前提条件.     

对单变量三次函数求极值的一种简便方法

本文给出单变量三次函数是否存在极值的一种简便判别法，由稳定点个数来判别单变量三次函数是否存在极值，并求其极大（小）值。     

Asymptotic Expansions for the Distribution of the Maximum of Gaussian Random Fields

Some asymptotic results are proved for the distribution of the maximum of a centered Gaussian random field with unit variance on a compact subset S of ^N . They are obtained by a Rice method and the evaluation of some moments of the number of local maxima of the Gaussian field above an high level inside S and on the border S. Depending on the geometry of the border we give up to N+1 terms of the expansion sometimes with exponentially small remainder. Application to waves maximum is shown.     

独立随机变量第k个最大值的密度函数的局部一致收敛

ξ_1,ξ_2,…,ξ_n是独立同分布随机变量,公共分布函数F(x)绝对连续,g_n.k(x)为ξ_1,…,ξ_n的第k个规范化最大值的分布密度函数.本文讨论了g_n,k(x)的局部一致收敛性以及在L_p(O相似文献