The quantile-based flattened logistic distribution: Some properties and applications

In this paper, the quantile-based flattened logistic distribution has been studied. Some classical and quantile-based properties of the distribution have been obtained. Closed form expressions of L-moments, L-moment ratios and expectation of order statistics of the distribution have been obtained. A quantile-based analysis concerning the method of matching L-moments estimation is employed to estimate the parameters of the proposed model. We further derive the asymptotic variance–covariance matrix of the matching L-Moments estimators of the proposed model. Finally, we apply the proposed model to simulated as well as two real life datasets and compare the fit with the logistic distribution.     

Local influence in multilevel models

The authors study the local influence of observations in multilevel regression models. To this end, they perturb simultaneously the variances, responses and design matrix. To measure the local change caused by these perturbations, they use generalized Cook statistics for the fixed and random parameter estimates. Closed form local influence measures also allow them to assess the joint influence of various observations. They suggest a simple computation method and illustrate their results using two examples.     

Proportional reversed hazard rate model and its applications

The purpose of this paper is to study the structure and properties of the proportional reversed hazard rate model (PRHRM) in contrast to the celebrated proportional hazard model (PHM). The monotonicity of the hazard rate and the reversed hazard rate of the model is investigated. Some criteria of aging are presented and the inheritance of the aging notions (of the base distribution) by the PRHRM is studied. Characterizations of the model involving Fisher information are presented and the statistical inference of the parameters is discussed. Finally, it is shown that several members of the proportional reversed hazard rate class have been found to be useful and flexible in real data analysis.     

北魏孝文帝定姓族制度散论

北魏孝文帝实施定姓族 ,首先 ,它既是北魏汉化政策的继续和发展 ,也是北魏历史发展的客观需要 ,在当时具有一定的现实意义 ;其次 ,姓族制度的实施在消除民族间的隔阂、加强北魏政权的统治以及提高鲜卑人的文化水平等方面也起了一定的积极作用 ;其三 ,姓族制度的实施与北魏政权的政治有密切的关系 ,不同时期所发挥的作用不同 ,应作具体分析 ,不能说姓族制对北魏政权的灭亡起了最直接、最主要的作用。     

Residual analysis for spatial point processes (with discussion)

Summary.  We define residuals for point process models fitted to spatial point pattern data, and we propose diagnostic plots based on them. The residuals apply to any point process model that has a conditional intensity; the model may exhibit spatial heterogeneity, interpoint interaction and dependence on spatial covariates. Some existing ad hoc methods for model checking (quadrat counts, scan statistic, kernel smoothed intensity and Berman's diagnostic) are recovered as special cases. Diagnostic tools are developed systematically, by using an analogy between our spatial residuals and the usual residuals for (non-spatial) generalized linear models. The conditional intensity λ plays the role of the mean response. This makes it possible to adapt existing knowledge about model validation for generalized linear models to the spatial point process context, giving recommendations for diagnostic plots. A plot of smoothed residuals against spatial location, or against a spatial covariate, is effective in diagnosing spatial trend or co-variate effects. Q – Q -plots of the residuals are effective in diagnosing interpoint interaction.     

统计打假对策探析

统计工作是经济管理的重要基础工作 ,统计信息是制定政策和编制、检查计划的基本依据之一。本文对统计工作中造假的成因、危害进行了剖析 ,提出了相应的打假对策     

中国古代时空秩序的修辞建构及其理据

根据日照长短和方向建构时空秩序,是中国古人对与自身生存息息相关的太阳长期细微观察的结果,这里存在着客观参照物的选择、主体思维方式以及学理层面的解释依据。     

论网络社会秩序的维护

本文从网络社会秩序的范畴角度入手 ,分析了网络社会秩序维护的必要性 ,并就如何维护问题提出了相关的对策     

论科技统计对高校发展的重要作用

科技统计是科学决策的基础，是组织架构设立和调整的依据，是科学制定和有效评价激励政策的前提，是贯彻“以人为本”管理思想的重要手段。对如何加强科技统计工作也提出了相关建议。