GMM tests for the Katz family of distributions

Generalized method of moments (GMM) is used to develop tests for discriminating discrete distributions among the two-parameter family of Katz distributions. Relationships involving moments are exploited to obtain identifying and over-identifying restrictions. The asymptotic relative efficiencies of tests based on GMM are analyzed using the local power approach and the approximate Bahadur efficiency. The paper also gives results of Monte Carlo experiments designed to check the validity of the theoretical findings and to shed light on the small sample properties of the proposed tests. Extensions of the results to compound Poisson alternative hypotheses are discussed.     

A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data

Estimated associations between an outcome variable and misclassified covariates tend to be biased when the methods of estimation that ignore the classification error are applied. Available methods to account for misclassification often require the use of a validation sample (i.e. a gold standard). In practice, however, such a gold standard may be unavailable or impractical. We propose a Bayesian approach to adjust for misclassification in a binary covariate in the random effect logistic model when a gold standard is not available. This Markov Chain Monte Carlo (MCMC) approach uses two imperfect measures of a dichotomous exposure under the assumptions of conditional independence and non-differential misclassification. A simulated numerical example and a real clinical example are given to illustrate the proposed approach. Our results suggest that the estimated log odds of inpatient care and the corresponding standard deviation are much larger in our proposed method compared with the models ignoring misclassification. Ignoring misclassification produces downwardly biased estimates and underestimate uncertainty.     

再谈扩大英语词汇量的途径

词汇的记忆是英语学习中的一大难点,英语水平的高低很大程度上取决于词汇量的大小,对于学习者来说,明确词汇的学习是提高英语水平的关键.本文试从学习者的学法角度对英语词汇量扩大的途径略作探讨.     

“法律基础”课教学法的改革与实践

在法律基础课教学活动中 ,充分强调学生的主体作用 ,鼓励学生参与到每个教学环节。老师首先指出重点 ,引导阅读 ,然后指导学生讨论、讲解 ,最后总结 ,回答提问。其核心思想是教学活动中师生的“互动” ,提高学生分析问题和解决问题的能力     

谈四六级考试改革后的课堂教学

文章主要从教学内容、教学模式、课时及测评等方面,探讨了四六级考试改革后的一些教学应对措施,以期对今后大学英语教学质量的提高有一定的促进作用。     

基于熵值法的东陇海产业带区域发展能力评价与建设策略

以市区和县域为研究单元,从经济发展推动力、社会发展支撑力、资源环境承载力三个方面构建区域发展能力指标体系.采用熵值法进行量化分析并进行发展能力评价.从省域层面看,该区域发展能力明显弱于省平均水平;从区域内部看,发展能力差距明显,综合发展能力优势集中在东陇海产业带的双核及轴线上.在区域发展能力评价的基础上,提出区域发展能力的建设策略:整合空间结构,深化区域分工,完善基础设施,涵养资源环境.     

工程建设项目投资控制

论述投资控制的关键环节,提出投资控制工作的实施要点,阐明投资控制工作的必要性、可行性和重大意义.     

文化差异给英汉翻译带来的困难

翻译涉及到语言和文化。本文从五个方面阐述了不同的文化观念给翻译带来的困难,并以举例的方式提出了解决这些困难的方法。     

高铭暄教授:法苑耕耘献丹心

高铭暄教授是我国当代著名的法学家和法学教育家,是新中国刑法学的主要奠基者和开拓者。在刑事立法、刑法学研究方法以及刑法专门问题上都有自己的真知灼见,逐步形成自己特有的刑法思想体系,为新中国刑事法治的建立、发展与完善奠定了坚实的基础,为新中国刑法学科的建构、繁荣与拓展作出了卓越的贡献。     

LLSM在群体判断中的推广和应用

首先分析了对数最小二乘排序法的特点,说明它是一种值得重视的好方法;并进一步阐述了这一方法的基本原理,着重地对群体判断下求加权的综合排序向量的方法进行了严密的数学推导;提出了在加权的综合排序中权重系数确定的新見解,并举例子以解释。