Rank-order tests for the parallelism of several regression surfaces

For testing the hypothesis that several (s?2) linear regression surfaces X_ki=α_k+β_kc_ki+Z_ki (k=1,…,s) are parallel to one another, i.e., β₁=?=β_s, a class of rank-order tests are considered. The tests are shown to be asymptotically distribution-free, and their asymptotic efficiency relative to the general likelihood ratio test is derived. Asymptotic optimality in the sense of Wald is also discussed.     

也谈《墨经》之“侔”--墨“侔”三款之我见兼商榷

《墨经》之“侔”,其得以成立之前提应为《墨经》之基本范畴“同”,而《墨经》所言之“同”凡十种,又可细分为“名”层面之“同”、“实”层面之“同”与“合”层面之“同”。墨“侔”正是基于上述三类“同”之前提得以建构,进而实现其“比辞而俱行”的内涵的,由此墨“侔”基于三类“同”之前提形成“侔”之三款,即“名”之“侔”、“实”之“侔”与“合”之“侔”;还可依据三种形式形成“加”之“侔”、“减”之“侔”与“换”之“侔”三款。此外,《墨经》中对“侔”之表述多为举例式,属经验性陈述,故墨“侔”成立之有效式只可经验归纳而得,先验演绎难以得之。基于上述认识,对以往学界所持之墨“侔”属西洋形式逻辑“附性法”、墨“侔”应包含“不是而不然”之“否定式”有效式及“是而不然”“不是而然”等“部分否定”有效式、墨“侔”之“减词”与“减辞”说、墨“侔”属“复杂概念推理”或“关系推理”、墨“侔”即“辟辞”属类比推理、墨“侔”属直接演绎推理等诸代表性观点进行商榷。     

宋濂散文阳刚风格论

宋濂散文不但有"温柔敦厚"、"中和雅正"的阴柔之美,也有雄浑、崇高、劲健、悲慨的阳刚之气。在赞美褒扬忠义刚正之士的一些散文中,通过人物形象的描述以及议论,表现出作者的赞颂慨叹激情;文章运用排比等修饰手段,使文章呈现波接涛涌的气势。作者强烈的儒家意识的内在因素以及元未社会压抑人才的外部因素是作者阳刚风格形成的原因。     

Profile analysis of several groups

In this paper, profile analysis of several groups is considered. The maximum likelihood estimate, along with its covariance matrix, is given for the “level differences” between the grops. Likelihood ratio test procedures, with their distributions, are given for the three hypothesis known in the literature as “parallelism”, “level hypothesis” and “ no condition variation”. In the literature, even for the two groups case, some procedures are not likelihood procedures.     

多线程及其在Java程序中的实现

本文阐述了多线程的概念和特征,并对线程的生成、线程的控制方法以及线程的状态作了初步的探讨。文章最后特别给出了一个基于Web浏览器的多线程小程序实例。     

Distribution-free tests for parallelism and concurrence in two-sample regression problem

This paper suggests some distribution-free methods for testing hypothesis of parallelism and concurrence of two linear regressions. We assume that the independent variable x is equally spaced. The proposed procedures are compared with nonparametric competitors and the normal theory t-test.