检察院检察活动规律初探

检察院的检察活动规律同样也是内在,是可以被发现的,而且只有把握住了检察活动规律,才能更好地发挥检察职能,促进司法公正,社会和谐。检察机关的活动规律与检察机关的属性密切相连,是由检察权的内容所决定的。包括三方面的规律：司法规律、诉讼规律、监督规律。必须充分理解和把握检察活动的本质要求,使各项检察活动遵循规律,更好地指导检察活动实践,推动我国社会主义法治国家的进程。     

浅谈医疗纠纷中医方赔偿责任及其法律适用

本文从医方赔偿责任及其概括性法律适用上分析,认为应该首先从侵权行为法体系中来认定赔偿责任;其次在医方证据缺陷的情况下,医方应该承担医疗事故损害赔偿责任;最后医方承担赔偿责任在特殊案件中可适用定期金和精神损害赔偿制度。     

在艾滋病高流行地区全面开展常规检测探究

艾滋病检测人数少、检测时间晚已经成为我国防治艾滋病工作的一个＂瓶颈＂因素。其原因有：现有检测方式存在自身缺陷、不利社会环境的影响、宣传不到位等诸多制约因素。要改变这一局面,必须拓展新的检测渠道。开展知情不拒绝（opt-out）进路的艾滋病常规化检测具有合理性和可行性,能够很好克服现有检测方式的不足,淡化环境的负面影响,有希望破解检测之瓶颈。     

Second order minimax estimation of the mean

In this study we consider the problem of the improvement of the sample mean in the second order minimax estimation sense for a mean belonging to an unrestricted mean parameter space R⁺${\mathbb{R}}^{+}$. We solve this problem for the class of natural exponential families (NEF's) whose variance functions (VF's) are regular at zero and at infinity. Such a class of VF's (or NEF's) is huge and contains (among others): Polynomial VF's (e.g., quadratic VF's in the Morris class, cubic VF's in the Letac&Mora class and VF's in the Hinde–Demétrio class); VF's belonging to the Tweedie class with power VF's, VF's belonging to the Babel class and many others. Moreover, we show that if the canonical parameter space of the corresponding NEF is R$\mathbb{R}$ (which is obviously the case if the support of the NEF is bounded), then the sample mean as an estimator of the mean cannot be further improved. This work presents an original constructive methodology and provides with constructive tools enabling to obtain explicit forms of the second order minimax estimators as well as the forms of the related weight functions. Our work establishes a substantial generalization of the results obtained so far in the literature. Illustrations of the resulting methods are provided and a simulation-based analysis is presented for the negative binomial case.     

正确把握当代青年学生思想特点与成长规律——从长江大学见义勇为舍己救人大学生英雄群体谈起

正确评价当代青年学生,深入分析其思想特点,应把他们放到时代发展背景坐标系下观察评判。研究分析青年学生的思想特点,需要把握严峻复杂的社会形势。青年学生成长教育规律体现在以下方面：当代青年学生是一个健康成长的群体,是一个时代环境塑造的群体,是一个需要引导发展的群体,是一个需要加强理论教育的群体,是一个需要推进自我教育的群体。     

适当变换问题是解数学题的一个关键

数学问题是千变万化的 ,解决数学问题的方法也是多种多样的。如何选择正确的解题方法是数学教学法研究的中心课题之一。对数学问题 ,学生总是采用从原问题入手推出原问题结论的方法 ,但有些数学问题 ,采用这种方法难以解决 ,笔者认为适当变换问题是解题的关键 ,本文就变换问题时应遵循的几点原则予以浅述     

Asymptotic analysis of tail distortion risk measure under the framework of multivariate regular variation

Abstract

Under the framework of multivariate regular variation, we obtain the asymptotic ratio between the tail distortion risk measure for portfolio loss and the sum of value-at-risk for single loss by a different method from the one in Zhu and Li when the confidence level tends to one. In order to illustrate the derived result, a relevant example is given and the corresponding numerical simulation is also carried out.     

Exploratory tools for outlier detection in compositional data with structural zeros

The analysis of compositional data using the log-ratio approach is based on ratios between the compositional parts. Zeros in the parts thus cause serious difficulties for the analysis. This is a particular problem in case of structural zeros, which cannot be simply replaced by a non-zero value as it is done, e.g. for values below detection limit or missing values. Instead, zeros to be incorporated into further statistical processing. The focus is on exploratory tools for identifying outliers in compositional data sets with structural zeros. For this purpose, Mahalanobis distances are estimated, computed either directly for subcompositions determined by their zero patterns, or by using imputation to improve the efficiency of the estimates, and then proceed to the subcompositional and subgroup level. For this approach, new theory is formulated that allows to estimate covariances for imputed compositional data and to apply estimations on subgroups using parts of this covariance matrix. Moreover, the zero pattern structure is analyzed using principal component analysis for binary data to achieve a comprehensive view of the overall multivariate data structure. The proposed tools are applied to larger compositional data sets from official statistics, where the need for an appropriate treatment of zeros is obvious.     

Asymptotic bayesian inference in some nonstandard cases: Bernstein–von Mises Results and regular bayes' estimators

Asymptotically with probability close to one, the convergence in variation (also in distribution) to the multivariate normal, of the aposteriori density function of a parameter agains an apriori density, viz. the BERNSTEIN–VON MISES results are established when observations are not necessarily indenpendent or identically distributed but satisfy weak regularity assumptions on their joint density function. Regular BAYES' estimators are defined with respect to regular loss functions and a positive apriori density and proved consistent, asymptotically efficient and asymptotically normal. Examples and applications to conjugate families of densities, to inference in MARKOV Chains and other nonstandard cases illustrate results     

A new model and class of designs for mixture experiments with process variables

Experiments that involve the blending of several components are known as mixture experiments. In some mixture experiments, the response depends not only on the proportion of the mixture components, but also on the processing conditions, A new combined model is proposed which is based on Taylor series approximation and is intended to be a compromise between standard mixture models and standard response surface models. Cost and/or time constraints often limit the size of industrial experiments. With this in mind, we present a new class of designs that will accommodate the fitting of the new combined model.