Robust pairwise multiple comparisons under short-tailed symmetric distributions

In one-way ANOVA, most of the pairwise multiple comparison procedures depend on normality assumption of errors. In practice, errors have non-normal distributions so frequently. Therefore, it is very important to develop robust estimators of location and the associated variance under non-normality. In this paper, we consider the estimation of one-way ANOVA model parameters to make pairwise multiple comparisons under short-tailed symmetric (STS) distribution. The classical least squares method is neither efficient nor robust and maximum likelihood estimation technique is problematic in this situation. Modified maximum likelihood (MML) estimation technique gives the opportunity to estimate model parameters in closed forms under non-normal distributions. Hence, the use of MML estimators in the test statistic is proposed for pairwise multiple comparisons under STS distribution. The efficiency and power comparisons of the test statistic based on sample mean, trimmed mean, wave and MML estimators are given and the robustness of the test obtained using these estimators under plausible alternatives and inlier model are examined. It is demonstrated that the test statistic based on MML estimators is efficient and robust and the corresponding test is more powerful and having smallest Type I error.     

论抽象行政行为的可诉性--由孙志刚案引发的行政法问题思考

抽象行政行为因缺乏必要的法律监督而导致行政和司法实践问题丛生.惟有将抽象行政行为纳入行政诉讼受案范围,接受司法审查,才能健全对抽象行政行为的监督制度,进而推进依法治国的进程.     

中国转基因食品标识与信息传播的改进——基于公众权益保障视角

目前,中国转基因食品标识目录过于狭窄,标识制度的执行和监管以及食品标签内容存在欠缺;在转基因食品的信息传播方面,有些媒体在传播有关信息时存在偏差,加上公众对转基因食品的认知能力较差,公众对转基因食品普遍存在恐惧感。这些都影响了公众在转基因食品上做出自由的、理性的选择。在转基因食品销售中,为保障和实现公众的知情权和选择权,要严格执行转基因食品标识制度,改进标识方式和内容;专家、科普工作者和媒体要站在客观立场上向公众传播转基因食品技术和知识,要注重双向互动和沟通交流,并根据不同的社会文化环境进行有针对性地传播。     

Objective Tests versus Subjective tests

objective test has only one correct answer, while subjective test has a range of possible answers. Because of this feature, reliability will not be difficult to achieve in the marking of the objective item, while the marking of the subjective items is reliable. On the whole, a good test must contain both subjective and objective test items.     

Estimates of the quantiles of kendall's partial rank correlation coefficient

The sampling distribution of kendall's partial rank correlation coefficient, J_xy?z, is not known for N>4, where N is the number of subjectts. Moran (1951) used a direcr conbinatorial method to obtain the distribution of J_xy?z forN=4; however, ten minor computationa; errors in his Table 2apparently resulted in how erroneous entries for his frequency table. Since the parctial limits of the direct combinatorial approach have been reached once N>4, the first main objective of this paper was to obtain the exact distribution of J_xy?z for N=f, 6, and 7 using an electronic computer. The second was to use the Monte Carlo method to obtain reliable estimates of the quantiles of J_xy?z for N=8,9,...,30     

A modified Kolmogorov-Smirnov test for a rectangular distribution with unknown parameters: Computation of the distribution of the test statistic

A recursive scheme for the calculation of the distribution of the test statistic of a modified Kolmogorov-Smirnov-test for a rectangular distribution with unknown parameters is given.     

抗氧化修饰低密度脂蛋白单克隆抗体的制备及其初步应用

用氧化修饰脂蛋白（ａ）对Ｂａｌｂ／ｃ小鼠免疫．利用淋巴细胞杂交瘤技术制备了鼠抗人氧化修饰低密度脂蛋白（ｏｘｉｄａｔｉｖｅｌｙｍｏｄｉｆｉｅｄｌｏｗｄｅｎｓｉｔｙｌｉｐｏｐｒｏｔｅｉｎ，ｏｘＬＤＬ）单克隆抗体细胞株．以单克隆抗体包被建立了酶联免疫吸附（ＥＬＩＳＡ）双抗夹心法．用此法对１０例冠心病患者、６例其他心脏病患者、１０例正常健康人血浆中ｏｘＬＤＬ的含量进行了测定．结果表明，冠心病患者血浆中ｏｘＬＤＬ水平明显高于其他心脏病组和正常对照组．本实验所建立的方法对诊断冠心病患者血浆中的ｏｘＬＤＬ具有重要意义     

Detecting influential observations in Liu and modified Liu estimators

In regression, detecting anomalous observations is a significant step for model-building process. Various influence measures based on different motivational arguments are designed to measure the influence of observations through different aspects of various regression models. The presence of influential observations in the data is complicated by the existence of multicollinearity. The purpose of this paper is to assess the influence of observations in the Liu [9] and modified Liu [15] estimators by using the method of approximate case deletion formulas suggested by Walker and Birch [14]. A numerical example using a real data set used by Longley [10] and a Monte Carlo simulation are given to illustrate the theoretical results.     

Best bounds for order statistics and their expectations in range and mean units with applications

Best bounds for the order statistics are obtained in terras of the sample range and, for non-negative samples, in terms of the sample mean. Best bounds for the differences of two order statistics are found in this case also. Corresponding bounds on the expectation of order statistics and their differences are also found. Several applications of these bounds are considered