科学确定职业院校招生规模的方法研究

在研究职业教育城乡一体化的过程中,课题组研究探讨出一套根据一个地区或一个职业院校的教育资源合理确定这一地区或者这一学校的招生规模,达到充分利用教育资源,获得最好的教育效益和经济效益的各种定量方法,从而为教育管理部门和职业院校运用数学和经济学理论合理确定招生规模提供参考。     

汇编语言程序设计教学改革初探

汇编语言程序设计是计算机专业重要的基础课程,但由于其抽象、指令多等原因受到学生的忽视,实际教学效果很差。针对汇编语言程序设计的特点及目前教学现状,从改善教学效果和培养学生兴趣为出发点,对课程的教学内容、方法及手段进行探索,提高教学及实验效果,从而使汇编语言发挥其专业核心课的作用。     

Fluidity amidst structure: multi-racial identity constructions across the life course of Malaysians and Singaporeans

ABSTRACT

Multi-racial identity construction is understood to be fluid, contextual and dynamic. Yet the dynamics of multi-racial identity construction when racial identities are ascribed and formulated as static by governments is less explored in psychological studies of race. This paper examines the dynamics of racial identity construction among multi-racial Malaysians and Singaporeans in a qualitative study of 31 semi-structured interviews. Thematic analysis was used to identify the different private racial identity constructions of participants who were officially ascribed with single racial identities at birth. Participants reflected on the overwhelming influence of the state and significant Others in limiting their ability to express their multiple racial identities when they were in school, and highlighted their capacity to be agentic in their private racial identity constructions when they were older. This paper shows that across the life course multi-racial individuals possess (1) the ability to adopt different racial identity positions at different times, (2) the ability to hold multiple racial identity constructions at the same time when encounters with Others are dialogical, (3) the reflexivity of past identity positions in the present construction of identities.     

关于民族乡的几个问题

我国少数民族杂散居地区包括少数民族杂居地区和少数民族散居地区。民族乡是根据宪法和其他法律规定在少数民族杂居地区建立的乡一级基层行政区域。无论是从民族乡产生的社会历史背景、过程以及所依据的理论看,还是从几十年来民族乡的实践看,民族乡都与一般乡有很大的区别,体现出自治的性质。属民族区域自治性质的乡级基层政权,是我国民族区域自治制度的补充。为此,本文建议在宪法和其他法律中明确规定民族乡的这一性质和地位,以利于做好民族乡的工作,保障杂居地区少数民族的平等权利。     

Benefits of Hybrid Lateral Transshipments in Multi‐Item Inventory Systems under Periodic Replenishment

Lateral transshipments are a method of responding to shortages of stock in a network of inventory‐holding locations. Conventional reactive approaches only seek to meet immediate shortages. The study proposes hybrid transshipments which exploit economies of scale by moving additional stock between locations to prevent future shortages in addition to meeting immediate ones. The setting considered is motivated by retailers who operate networks of outlets supplying car parts via a system of periodic replenishment. It is novel in allowing non‐stationary stochastic demand and general patterns of dependence between multiple item types. The generality of our work makes it widely applicable. We develop an easy‐to‐compute quasi‐myopic heuristic for determining how hybrid transshipments should be made. We obtain simple characterizations of the heuristic and demonstrate its strong cost performance in both small and large networks in an extensive numerical study.     

Testing Serial Correlation in Partially Linear Additive Errors-in-variables Models

This article considers testing serial correlation in partially linear additive errors-in-variables model. Based on the empirical likelihood based approach, a test statistic was proposed, and it was shown to follow asymptotically a chi-square distribution under the null hypothesis of no serial correlation. Finally, some simulation studies are conducted to illustrate the performance of the proposed method.     

Unified multivariate survival model with a surviving fraction: an application to a Brazilian customer churn data

In this paper we propose a new lifetime model for multivariate survival data in presence of surviving fractions and examine some of its properties. Its genesis is based on situations in which there are m types of unobservable competing causes, where each cause is related to a time of occurrence of an event of interest. Our model is a multivariate extension of the univariate survival cure rate model proposed by Rodrigues et al. [37 J. Rodrigues, V.G. Cancho, M. de Castro, and F. Louzada-Neto, On the unification of long-term survival models, Statist. Probab. Lett. 79 (2009), pp. 753–759. doi: 10.1016/j.spl.2008.10.029[Crossref], [Web of Science ®] , [Google Scholar]]. The inferential approach exploits the maximum likelihood tools. We perform a simulation study in order to verify the asymptotic properties of the maximum likelihood estimators. The simulation study also focus on size and power of the likelihood ratio test. The methodology is illustrated on a real data set on customer churn data.     

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.     

Diagnostics in elliptical regression models with stochastic restrictions applied to econometrics

We propose an influence diagnostic methodology for linear regression models with stochastic restrictions and errors following elliptically contoured distributions. We study how a perturbation may impact on the mixed estimation procedure of parameters in the model. Normal curvatures and slopes for assessing influence under usual schemes are derived, including perturbations of case-weight, response variable, and explanatory variable. Simulations are conducted to evaluate the performance of the proposed methodology. An example with real-world economy data is presented as an illustration.     

Goodness-of-fit tests of generalized linear mixed models for repeated ordinal responses

Categorical longitudinal data are frequently applied in a variety of fields, and are commonly fitted by generalized linear mixed models (GLMMs) and generalized estimating equations models. The cumulative logit is one of the useful link functions to deal with the problem involving repeated ordinal responses. To check the adequacy of the GLMMs with cumulative logit link function, two goodness-of-fit tests constructed by the unweighted sum of squared model residuals using numerical integration and bootstrap resampling technique are proposed. The empirical type I error rates and powers of the proposed tests are examined by simulation studies. The ordinal longitudinal studies are utilized to illustrate the application of the two proposed tests.