Letter to the editor comments on Groparu-Cojocaru and Doray (2013)

Although estimating the five parameters of an unknown Generalized Normal Laplace (GNL) density by minimizing the distance between the empirical and true characteristic functions seems appealing, the approach cannot be advocated in practice. This conclusion is based on extensive numerical simulations in which a fast minimization procedure delivers deceiving estimators with values that are quite far away from the truth. These findings can be predicted by the very large values obtained for the true asymptotic variances of the estimators of the five parameters of the true GNL density.     

Variable selection for semiparametric proportional hazards model under progressive Type-II censoring

Variable selection is an effective methodology for dealing with models with numerous covariates. We consider the methods of variable selection for semiparametric Cox proportional hazards model under the progressive Type-II censoring scheme. The Cox proportional hazards model is used to model the influence coefficients of the environmental covariates. By applying Breslow’s “least information” idea, we obtain a profile likelihood function to estimate the coefficients. Lasso-type penalized profile likelihood estimation as well as stepwise variable selection method are explored as means to find the important covariates. Numerical simulations are conducted and Veteran’s Administration Lung Cancer data are exploited to evaluate the performance of the proposed method.     

Modification of GEE1 and linear mixed-effects models for heteroscedastic longitudinal Gaussian data

A characterization of GLMs is given. Modification of the Gaussian GEE1, modified GEE1, was applied to heteroscedastic longitudinal data, to which linear mixed-effects models are usually applied. The modified GEE1 models scale multivariate data to homoscedastic data maintaining the correlation structure and apply usual GEE1 to homoscedastic data, which needs no-diagnostics for diagonal variances. Relationships among multivariate linear regression methods, ordinary/generalized LS, naïve/modified GEE1, and linear mixed-effects models were discussed. An application showed modified GEE1 gave most efficient parameter estimation. Correct specification of the main diagonals of heteroscedastic data variance appears to be more important for efficient mean parameter estimation.     

英语政治新闻的语篇体裁结构潜势研究

英语政治新闻的语篇体裁结构潜势创造了对英语政治新闻语篇体裁进行描述的元语言。英语政治新闻的语境配置可以描述为新闻记者通过媒介向潜在读者报道新近发生的政治事件;英语政治新闻的语篇体裁结构潜势包含标题、电头、导语、主要事件、背景信息、影响、结果或后果和评论等成分,其中标题、电头、导语和主要事件是必要成分．在结构潜势程式中出现的顺序是固定的,背景信息、影响、结果或后果和评论是可选性成分,其位置可根据需要随意变换。必要成分及其顺序决定了语篇的语篇体裁,可选性成分决定了属于同一个语篇体裁的语篇变异现象。     

基于VoiceXML的图书馆IVR系统设计研究

文章对基于VoiceXML的IVR系统的关键技术、系统架构模型进行了分析,并对高校图书馆IVR系统的主要功能做以描述,最后对部分代码进行了举例说明。     

高校后勤人力资源优化配置的原则和措施

如何做到人事制度完善合理与切实有效执行相结合,是高校后勤社会化改革的一项重点和难点。针对现状,提出优化后勤人力资源配置的原则和措施,以期实现高校后勤社会化改革目标,最大限度发挥人的主观性、创造性。     

行刑一体化与刑罚执行权的新配置

尽管行刑是刑罚运用过程的最后环节,但是,行刑效果如何则直接关系到刑罚目的能否最终实现。科学合理地配置刑罚执行权将有助于行刑效率的提高与刑罚运行机制的完备。通过对当代中国刑罚执行权的现实考察,不难发现,中国现行刑罚执行权配置并不科学合理,存在着行刑权过于分散、相互之间彼此抵牾之处,这严重地影响了刑罚功能的发挥。因此,树立行刑一体化的理念,科学地配置刑罚执行权,乃是中国刑法理论界与实务界共同努力的方向和目标。     

基于B/S的机房动力和环境监控模拟实验系统

探讨基于B/S结构的网络化模拟实验室的构建,并以机房动力和环境监控系统为实验对象,用网际组态软件W ebAccess实现集数据采集、视频监控、安防消防等综合模拟实验平台的开发。     

基于csQCA的P2P网络借贷平台信用影响因素

针对P2P网络借贷平台成交量及数量减少的现象,运用网络爬虫技术等方法,获取了上市系、国资系、风投系、创业系4个类别共40个P2P网络借贷平台的实际数据;建立了基于品牌信用、交易信用、人气信用、服务信用4个维度的P2P网络借贷平台信用评估模型;运用csQCA方法对其平台信用影响因素进行构型分析。研究表明:交易信用中的信息透明度是影响P2P网络借贷平台信用的主要要素,其次是品牌信用中的合规程度;高品牌信用是上市系和创业系P2P网络借贷平台高信用值产生的必要条件;高交易信用是国资系P2P网络借贷平台高信用值产生的必要条件。政府和P2P网络借贷平台应重点关注品牌信用和交易信用的变化,为借款人和出借人营造良好的交易氛围。     

Subset selection of the t best populations

Selection of the “best” t out of k populations has been considered in the indifferece zone formulation by Bachhofer (1954) and in the subset selection formulation by Carroll, Gupta and Huang (1975). The latter approach is used here to obtain conservative solutions for the goals of selecting (i) all the “good” or (ii) only “good” populations, where “good” means having a location parameter among the largest t. For the case of normal distributions, with common unknown variance, tables are produced for implementing these procedures. Also, for this case, simulation results suggest that the procedure may not be too conservative.