韩国赋学三题

科举试"赋"、创作赋体作品和爱重《文选》,是韩国赋学兴起的首要条件,而韩国大学的中文系、就读中国的留学生等是其中国赋研究复兴的当代学缘背景。《文选》所选楚汉魏晋六朝赋的研究是韩国20世纪中国赋研究复兴的起点,而唐赋研究是其重要的成绩,中国赋与书画研究搭起了赋学与书艺辨伪之学的"桥梁",中韩赋家赋作的比较研究开创了国际赋学的新"亮点"。韩国中国赋研究的理论基础是中国赋论及哲学、史学、儒家诗学等,立论细腻完整、学风严谨不乏创新是其学术风格。     

闭环供应链主体中销售商低碳行为评价

作为闭环供应链中的渠道主体,销售商实施低碳行为是企业实现资源长远利用的必然选择,是塑造企业低碳形象的必然要求,也是规避企业劣势与威胁、创造无限商机的必经之路。通过构建SEM对销售商低碳行为进行评价,运用SPSS 13.0和LISREL 8.80软件处理指标数据,筛选出关键的影响因素,并有针对性地加以改进,以期为销售商实现长期综合效益提供理论参考与技术指导。     

On Testing Sample Selection Bias Under the Multicollinearity Problem

This paper reviews and extends the literature on the finite sample behavior of tests for sample selection bias. Monte Carlo results show that, when the “multicollinearity problem” identified by Nawata (1993) is severe, (i) the t-test based on the Heckman-Greene variance estimator can be unreliable, (ii) the Likelihood Ratio test remains powerful, and (iii) nonnormality can be interpreted as severe sample selection bias by Maximum Likelihood methods, leading to negative Wald statistics. We also confirm previous findings (Leung and Yu, 1996) that the standard regression-based t-test (Heckman, 1979) and the asymptotically efficient Lagrange Multiplier test (Melino, 1982), are robust to nonnormality but have very little power.     

CBN刀精车GCr15轴承钢的试验研究

本文利用正交试验法，通过用ＣＢＮ刀对ＧＣｒ１５轴承钢精车切削试验并对试验数据进行了多元线性处理，得出了在此切削条件下的切削用量三因素与刀具耐用度的Ｔａｙｌｏｒ公式，为解决难加工材料ＧＣｒ１５轴承钢的精车及实际生产提供了经验。     

Multivariate tests comparing binomial probabilities, with application to safety studies for drugs

Summary.  In magazine advertisements for new drugs, it is common to see summary tables that compare the relative frequency of several side-effects for the drug and for a placebo, based on results from placebo-controlled clinical trials. The paper summarizes ways to conduct a global test of equality of the population proportions for the drug and the vector of population proportions for the placebo. For multivariate normal responses, the Hotelling T ²-test is a well-known method for testing equality of a vector of means for two independent samples. The tests in the paper are analogues of this test for vectors of binary responses. The likelihood ratio tests can be computationally intensive or have poor asymptotic performance. Simple quadratic forms comparing the two vectors provide alternative tests. Much better performance results from using a score-type version with a null-estimated covariance matrix than from the sample covariance matrix that applies with an ordinary Wald test. For either type of statistic, asymptotic inference is often inadequate, so we also present alternative, exact permutation tests. Follow-up inferences are also discussed, and our methods are applied to safety data from a phase II clinical trial.     

菌毒敌与石炭酸消毒效力的比较研究

采用石炭酸系数测定法、挖沟法及沉降法分别对菌毒敌和石炭酸的消毒效力进行了比较研究。结果表明:菌毒敌的石炭酸系数为3.34。菌毒敌(1:200)在室内空气消毒后1h和4h消除率分别为76.75％和85.81％;石炭酸(1:200)的消除率分别为50.73％和81.52％。试验表明:菌毒敌用于畜禽环境的消毒效力较石炭酸为佳。     

呈偏态分布的学业成绩——关于《高等代数》教学的一次终结性评价

应用现代教育评价和教育统计的有关理论与技术，对《高等代数》教学质量的终结性评价提供一次实际的操作程序和方法。     

展翅梁结构有机玻璃模型试验研究

简要介绍了展翅梁有机玻璃模型试验概况，验证了展翅梁结构剪力滞后、腹板弯矩分配比例的计算理论，检验了展翅梁结构的受力性能．     

Development of Specific hypothesis tests for estimated markov chains

We develop and evaluate the validity and power of two specific tests for the transition probabilities in a Markov chain estimated from aggregate frequency data. The two null hypotheses considered are (1) constancy of the diagonal elements of the one-step transition probability matrix and (2) an arbitrarily chosen transition probability’s being equal to a specific value. The formation of tests uses a general framework for statistical inference on estimated Markov processes; we also indicate how this framework can be used to form tests for a variety of other hypotheses. The validity and power performance of the two tests formed in this paper are examined in factorially designed Monte Carlo experiments. The results indicate that the proposed tests lead to type I error probabilities which are close to the desired levels and to high power against even small deviations from the null hypotheses considered.     

Permutation methods in relative risk regression models

In this paper, we develop a weighted permutation (WP) method to construct confidence intervals for regression parameters in relative risk regression models. The WP method is a generalized permutation approach. It constructs a resampled history which mimics the observed history for individuals under study. Inference procedures are based on studentized score statistics that are insensitive to the forms of the relative risk function. This makes the WP method appealing in the general framework of the relative risk regression model. First-order accuracy of the WP method is established using counting process approach with a partial likelihood filtration. A simulation study indicates that the method typically improves accuracy over asymptotic confidence intervals.