多校区图书馆的典藏工作

高校合并后,许多院校的图书馆都出现了多校区、多分馆的管理局面。笔者从新图书典藏、调拨、剔除几个方面简要论述了如何搞好多校区图书馆的典藏工作。     

论西方政治哲学的理想社会观

本文以马克思主义理想社会观对西方政治哲学的理想社会观进行了评析,认为西方政治哲学的价值理性主义和人文主义是构建理想社会的政治思维,理想社会体现了智性主义和人文主义的政治传统,理想社会建构关注财产关系的安排,制度主义是西方政治哲学理想社会的生长点.     

Influence Diagnostics on Testing Linear Hypothesis in Linear Models with Correlated Errors

To assess the influence of observations on the parameter estimates, case deletion diagnostics are commonly used in linear regression models. For linear models with correlated errors we study the influence of observations on testing a linear hypothesis using single and multiple case deletions. The change in likelihood ratio test and F test theoretically is derived and it is shown these tests to be completely determined by two proposed generalized externally studentized residuals. An illustrative example of a real data set is also reported.     

被遗忘权的制度缺失、发展困境与中国构建路径

数据时代面临的个人信息受到侵害、个人隐私泄露、算法歧视等一系列重大问题，应将以保护信息主体权利为目的的被遗忘权确立下来。欧美被遗忘权在隐私与自由之间存在的冲突背后所体现的是被遗忘权对于各国需求的重要性，我国现有法律制度中规定的删除权与欧盟所确立的被遗忘权是不能等同的。现行被遗忘权面临着调整对象的设定缺陷、权利内容的设定偏差、责任主体的设定不足三方面的发展困境。学者热议与实践需求在一定程度上表明我国应当引入被遗忘权，并应从调整对象的优化构建、权利内容的改造构建、责任承担的明确构建搭建起中国的路径选择，以解决网络信息社会的发展带给我们的新挑战。     

Mean shift and influence measures in linear measurement error models with stochastic linear restrictions

We present influence diagnostics for linear measurement error models with stochastic linear restrictions using the corrected likelihood of Nakamura in 1990. The case deletion and mean shift outlier models are developed to identify outlying and influential observations. We derive a corrected score test statistic for outlier detection based on mean shift outlier models. The analogs of Cook's distance and likelihood distance are proposed to determine influential observations based on case deletion models. A parametric bootstrap procedure is used to obtain empirical distributions of the test statistics and a simulation study has been used to evaluate the performance of the proposed estimators based on the mean squares error criterion and the score test statistic. Finally, a numerical example is given to illustrate the theoretical results.     

Bayesian estimation and influence diagnostics of generalized partially linear mixed-effects models for longitudinal data

This paper develops a Bayesian approach to obtain the joint estimates of unknown parameters, nonparametric functions and random effects in generalized partially linear mixed models (GPLMMs), and presents three case deletion influence measures to identify influential observations based on the φ-divergence, Cook's posterior mean distance and Cook's posterior mode distance of parameters. Fisher's iterative scoring algorithm is developed to evaluate the posterior modes of parameters in GPLMMs. The first-order approximation to Cook's posterior mode distance is presented. The computationally feasible formulae for the φ-divergence diagnostic and Cook's posterior mean distance are given. Several simulation studies and an example are presented to illustrate our proposed methodologies.     

理性极限及其突破断想

思维具有历史的特征.而理性思维只是人类思维的一个阶段.因此,理性思维及与之相对应的理性哲学都无法超越自身的历史局限.理性哲学缺失与当下生活的对应的根本原因就在于理性极限.而理性的偏见与虚妄的悲剧价值预设正是这种极限的表现.打破理性极限的前提是将理性还原于历史中并具体列出突破理性哲学的叙述方案.     

Deletion residuals in the detection of heterogeneity of variances in linear regression

The heterogeneity of error variance often causes a huge interpretive problem in linear regression analysis. Before taking any remedial measures we first need to detect this problem. A large number of diagnostic plots are now available in the literature for detecting heteroscedasticity of error variances. Among them the ‘residuals’ and ‘fits’ (R–F) plot is very popular and commonly used. In the R–F plot residuals are plotted against the fitted responses, where both these components are obtained using the ordinary least squares (OLS) method. It is now evident that the OLS fits and residuals suffer a huge setback in the presence of unusual observations and hence the R–F plot may not exhibit the real scenario. The deletion residuals based on a data set free from all unusual cases should estimate the true errors in a better way than the OLS residuals. In this paper we propose ‘deletion residuals’ and the ‘deletion fits’ (DR–DF) plot for the detection of the heterogeneity of error variances in a linear regression model to get a more convincing and reliable graphical display. Examples show that this plot locates unusual observations more clearly than the R–F plot. The advantage of using deletion residuals in the detection of heteroscedasticity of error variance is investigated through Monte Carlo simulations under a variety of situations.     

Lottomania and other anomalies in the market for lotto

This research is concerned with the determination of the demand for “lotto” in Israel. While an important focus of our research is upon the effects on the demand for lotto of ticket pricing and jackpot announcements, we also investigate several empirical phenomena that are apparently inconsistent with expected utility theory. These include an effect we call “lottomania” which is induced by rollover, and “prize fatigue” when the jackpot does not increase. Another aberration from expected utility theory is that the underlying odds of winning have no measurable effect on sales.     

Multiple deletion measures and conditional influence in regression model

The joint effect of the deletion of the ith and jih cases is given by Gray and Ling (1984), they discussed the influence measures for influential subsets in linear regression analysis. The present paper is concerned with multiple sets of deletion measures in the linear regression model. In particular we are interested in the effects of the jointly and conditional influence analysis for the detection of two influential subsets.