Testing for order among K populations: theory and examples

Testing for stochastic order among K populations is a common and important problem in statistical practice. It arises in the analysis of both planned experiments and observational studies. The authors develop a new nonparametric test for order among K populations that can accommodate any stochastic ordering. The test is based on a maximally selected chi‐bar‐square statistic. The authors find its limiting distribution and use simulations to derive critical values. Three important examples are used to illustrate the applicability of the general method. The authors find that the new tests outperform the existing methods in many practical cases. The Canadian Journal of Statistics 38: 97–115; 2010 © 2009 Statistical Society of Canada     

Variability explained by covariates in linear mixed‐effect models for longitudinal data

Variability explained by covariates or explained variance is a well‐known concept in assessing the importance of covariates for dependent outcomes. In this paper we study R² statistics of explained variance pertinent to longitudinal data under linear mixed‐effect models, where the R² statistics are computed at two different levels to measure, respectively, within‐ and between‐subject variabilities explained by the covariates. By deriving the limits of R² statistics, we find that the interpretation of explained variance for the existing R² statistics is clear only in the case where the covariance matrix of the outcome vector is compound symmetric. Two new R² statistics are proposed to address the effect of time‐dependent covariate means. In the general case where the outcome covariance matrix is not compound symmetric, we introduce the concept of compound symmetry projection and use it to define level‐one and level‐two R² statistics. Numerical results are provided to support the theoretical findings and demonstrate the performance of the R² statistics. The Canadian Journal of Statistics 38: 352–368; 2010 © 2010 Statistical Society of Canada     

Smoothed empirical likelihood confidence intervals for the relative distribution with left‐truncated and right‐censored data

The study of differences among groups is an interesting statistical topic in many applied fields. It is very common in this context to have data that are subject to mechanisms of loss of information, such as censoring and truncation. In the setting of a two‐sample problem with data subject to left truncation and right censoring, we develop an empirical likelihood method to do inference for the relative distribution. We obtain a nonparametric generalization of Wilks' theorem and construct nonparametric pointwise confidence intervals for the relative distribution. Finally, we analyse the coverage probability and length of these confidence intervals through a simulation study and illustrate their use with a real data set on gastric cancer. The Canadian Journal of Statistics 38: 453–473; 2010 © 2010 Statistical Society of Canada     

SAMA技术及其与扩频CDMA的性能比较

在阐述ＳＡＭＡＣ（扩展　ＡＬＯＨＡ多址）技术原理的基础上,分析了其性能,并与扩频ＣＤＭＡ进行了比较,讨论了其广阔的应用前景。     

Turbo CDMA多用户检测的研究

简述了Turbo译码原理及逐符号最大后验算法,并将Turbo译码原理应用于CDMA系统的多用户检测;提出了基于Turbo译码原理的多用户检测接收机方案,通过计算机仿真验证了该方案的性能。结果表明,该方案经过4次迭代之后,其误码率接近单用户界,这种接收机可去除多址干扰（MAI）的影响。     

浅析法释[2000]33号司法解释的两处失误

最高人民法院 [2000]33号司法解释与刑法相关规定的对比,存在着与法律相背的两处失误：一是钱可以“消”罪;二是共同过失构成共犯。前者可规定为能积极赔偿的可减轻或免以刑罚来解决,后者去掉画蛇添足的共犯二字即可。     

略论北仑经济新一年发展重点

文章阐述了北仑区2000年经济工作的6个重点,即扩大对外开放、优化经济结构、深化体制改革、推进科教兴区、加快城市化步伐、改善投资环境,并提出了具体措施。     

Windows 2000 Server典型实验在VMware中的实现

Windows 2000 Server的实验需要专门的网络实验室,从而需要很大的设备投入。随着虚拟仿真技术在计算机网络中的应用,可以利用虚拟机软件构造虚拟计算机网络实验平台。VMware是一个功能强大的虚拟机软件,本文介绍VMware环境下Windows2000 Server的多个典型实验的实现原理与方法。     

数字电视视频压缩标准

简述MPEG、JPEG与H系列图像压缩编码国际标准中与高清晰度数字电视视频相关的编码技术,并指出各自的特点、性能与应用。     

ISO9000∶2000质量管理八项原则在学报管理中的运用

ISO9000:2000版标准中提出以顾客为中心、领导作用、全员参与、过程方法、管理的系统方法、持续改进、基于事实的决策方法、互利的供方关系的质量管理八项原则,是有效实施学报质量管理工作的理论基础和必须遵循的原则。在学报质量管理中广泛应用这八项原则就是要树立全心全意为读者服务的根本宗旨,领导高度重视学报质量管理工作,鼓励编辑人员积极参与学报质量管理工作,建立编辑与作者互惠互利的良好合作关系,对学报编辑出版过程的各个环节有效控制,根据广泛搜集的数据和信息对学报质量管理进行科学决策,不断地改进学报质量管理工作,提高学报的整体质量。