Likelihood ratio test for discordancy with slippage alternatives

A likelihood ratio test for discordancy in the sample is considered with slippage alternatives. It is shown for a wide class of univariate distributions that only the extreme observations in the sample need to be tested for discordancy. This result provides a firmer support to many commonly used discordancy tests that take only extreme observations as candidates. The problem of testing multiple discordant observations is also discussed.     

发挥高校统战优势努力构建和谐校园

贯彻落实党中央提出的构建社会主义和谐社会的任务要求,高校应把建设"和谐学校"作为追求目标和治校理念.统一战线在创建和谐校园中处于重要地位,发挥着重要作用.切实发挥统一战线参政议政、人才荟萃、协调关系、联系广泛的优势,实现高校民主办学、人才各尽所能、人际关系和谐、引资聚才促进发展,这是构建和谐校园的内在要求.     

“一带一路”战略的支点：中国与中东能源合作

中东是全球主要的能源供应基地,在国际能源体系中扮演着重要的角色。随着习主席提出建设“一带一路”战略构想,中国与中东国家的能源关系发展迅速,已成为中国“一带一路”框架的战略支点。本文考察改革开放以来,中国与中东的能源关系的历程,通过分析中国与中东能源合作的主要机制,即中阿能源合作大会、中海战略对话以及中国与中东能源合作面临的主要问题和挑战,即中东地缘政治风险、西方国家对中国在中东的指责,指出中国在中东面临的竞争加剧,并对中国中东能源合作提出了几点思考。     

李渔建筑人文思想摭遗

李渔是我国古代著名的戏曲和小说家,也是著名的建筑学家。主张建筑要表现建筑家个性,反对模仿抄袭,提倡创新。在“空间”“采光”“治墙”“叠石”等方面提出过许多有价值的人性化观点。李渔建筑人文思想是中国古代人文意识在建筑上的集中反映,是对中国古代建筑人文意识的发扬光大,对现代建筑设计和施工具有十分重要的指导意义。     

中美关系新特点——一种基于新地缘关系视角的分析

中美两国有着互动的地缘政治、地缘经济与地缘文明关系,这三者构成了广泛的中美互动空间。中美两国需要在疑虑中加强相互信任,在摩擦中加强相互合作,双方需要共同努力,全面推进建设性合作关系。     

太原市公示语英译的问题与对策

随着改革开放的不断深入,太原,也在为建设成国际化的大都市不断地努力。公示语,作为一个城市的名片,同城市的形象、面貌及其国际化建设密不可分。公示语英译的规范化是一个国家或城市文明程度的体现,也是一个城市国际化程度的体现。城市英语公示语的翻译水平同其对外形象紧密相关。经实地考察发现太原市很多英语公示语的使用情况都不尽人意。此种情况产生的原因大致可以归于文化传播与交流滞后和公示语英译标准不统一及政府与媒体关注度不高,因此为了促进太原创建国际化大都市的进一步发展,增删部分英译公示语及尽快确立规范化、标准化的公示语英译标准是当前需要解决的问题。     

Inference based on adaptive grid selection of probability transforms

Probability transform-based inference, for example, characteristic function-based inference, is a good alternative to likelihood methods when the probability density function is unavailable or intractable. However, a set of grids needs to be determined to provide an effective estimator based on probability transforms. This paper is concerned with parametric inference based on adaptive selection of grids. By employing a closeness measure to evaluate the asymptotic variance of the transform-based estimator, we propose a statistical inference procedure, accompanied with adaptive grid selection. The selection algorithm aims for a small set of grids, and yet the resulting estimator can be highly efficient. Generally, the asymptotic variance is very close to that of the maximum likelihood estimator.     

半导体激光器的高频响应特性研究

应用一种新的半导体激光器理论模型—微波等效电路模型来研究半导体激光器的高频响应特性,得出半导体激光器高频响应特性与偏置电流的关系以及各电路参数对高频响应特性的影响,提出了提高半导体激光器高频响应的途径。     

Local Influence Analysis for Penalized Gaussian Likelihood Estimators in Partially Linear Models

Abstract. Partially linear models are extensions of linear models to include a non-parametric function of some covariate. They have been found to be useful in both cross-sectional and longitudinal studies. This paper provides a convenient means to extend Cook's local influence analysis to the penalized Gaussian likelihood estimator that uses a smoothing spline as a solution to its non-parametric component. Insight is also provided into the interplay of the influence or leverage measures between the linear and the non-parametric components in the model. The diagnostics are applied to a mouthwash data set and a longitudinal hormone study with informative results.     

Statistical inference for multiple change-point models

In this article, we propose a new technique for constructing confidence intervals for the mean of a noisy sequence with multiple change-points. We use the weighted bootstrap to generalize the bootstrap aggregating or bagging estimator. A standard deviation formula for the bagging estimator is introduced, based on which smoothed confidence intervals are constructed. To further improve the performance of the smoothed interval for weak signals, we suggest a strategy of adaptively choosing between the percentile intervals and the smoothed intervals. A new intensity plot is proposed to visualize the pattern of the change-points. We also propose a new change-point estimator based on the intensity plot, which has superior performance in comparison with the state-of-the-art segmentation methods. The finite sample performance of the confidence intervals and the change-point estimator are evaluated through Monte Carlo studies and illustrated with a real data example.