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The basic diagnostic statistics such as Cook distance, generalized leverage and residuals et al. are introduced, and the equivalency of case deletion model and mean-shift outlier model is investigated. Some specific problems, such as local influence analysis and the test for heteroscedasticity are discussed. Finally, numerical examples are given to illustrate our diagnostic methods.

首先,证明了均值漂移模型与数据点删除模型的等价性定理并定义了残差、Cook距离等诊断统计量;其次,研究了异常点的Score检验统计量;第三,研究了该模型的局部影响分析,得到了局部影响分析的曲率度量;第四,研究了该模型的异方差检验问题,得到了检验异方差的Score检验统计量和修正的Score检验统计量;最后,通过实例分析验证了这些诊断方法的有效性。

We use Hodges-Lehmann statistic to do significance test for those factors. The multiplication model is applied in the quantitative analysis and weighted least squares method is introduced to solve the multiplication model. Although the matrix of coefficients is not of full rank and the solutions of the multiplication model are not unique, we prove that all those solutions are equivalent in some sense.

本文用Hodges-Lehmann统计量对风险因子作显著性检验,将乘法模型用于数据修匀和风险因子的定量分析中,并提出了用加权最小二乘法求解风险因子的风险度量,在系数矩阵不满秩、解不唯一的情况下证明了所有解在某种意义下的等价性。

of transitive closure based on equivalence relation, method of maximum fuzzy spanning tree based on fuzzy graph, and algorithm Fuzzy C-Means based on partition are more deeply investigated. Respectively, this thesis proposes an algorithm for document fuzzy clustering based on methed of transitive closure and an algorithm for document fuzzy clustering based on methed of maximum fuzzy spanning tree. Moreover, FCM is particularly studied from data standardization method, metrics method, and selection method of initial clustering prototype.

较深入地讨论了基于等价关系的传递闭包法、基于模糊图论的最大树法以及基于划分的模糊C-均值算法,分别提出了基于传递闭包法的文本模糊聚类方法ATCFC和基于最大树法的文本模糊聚类方法ATCMT;重点从改变规格化方式、改变度量方式、改变初始聚类原型选择方式三方面对FCM算法进行研究。

Under more ordinary conditions of L and R, we give an equivalent characterization of triangle inequality in definition of fuzzy metric space. It extends the result obtained by Kaleva and Seikkla [54] under the condition that L=min, R=max.

在L,R较为一般情形下,给出了模糊度量空间定义中三角不等式的等价刻画,推广了Kaleva和Seikkla[54]在L=min,R=max情形下得到的结果。

According to density of particle numbers and energy of perfect quantum gas ,by strict theoretical calculation ,the energy of non relativity and relativity about perfect quantum gas under high temperature and low density is given.

根据理想量子气体的粒子数和能量的密度,通过严格的理论推算,给出理想量子气体在高温低密度条件下非相对论和极端相对论能量;再由巨正则系综中能量和压强相对涨落的公式,采用合理的近似方法,给出巨正则系综能量和压强相对涨落的严格解,并将其与正则系综对比,完备地展示两种系综在强度量的涨落方面热力学的等价性和个性差

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