对语料库中高年级学生写作词汇搭配错误的分析

分析和探讨了《中国学习者英语语料库》中标注的动词+名词和形容词+名词搭配错误及其原因。研究发现：对于动词+ 名词搭配错误,由于搭配的意义主要是由名词决定的,忽视或违背搭配的固定性并不影响对整个搭配意思的理解,但缺乏地道 的搭配会影响写作的准确性。对于形容词+名词搭配错误,L1干扰是主要的原因。词语搭配运用是否得当,会影响到写作的 准确性和地道性。帮助学习者掌握搭配类型,利用语料库学习和探索搭配,能有效地解决学习者写作中词不达意的问题,提高 写作表达的准确性。     

十年建设时期之左倾错误对中共权力运行秩序构建的危害

1956-1966年这一社会主义主义道路的艰辛探索期,因各种因素而产生的“左”倾错误,给党的权力运行的实践、权力运行秩序本身的规范化构建带来了危害：在政党文化层面,以阶级斗争为纲的错误倾向,严重干扰了权力运行的正确方向;在政治社会化层面,日益呈现“革命”性和庸俗化倾向,封建观念未能消解;在组织权力运行体制层面,日益高度集权化,削弱了权力监督内生动力;在权力运行体制内部关系层面,法制建设衰退化,加剧了制度规范的总体缺失;在政治关系层面,党际关系、党与社会组织关系日益封闭,造成权力外部监督群的缺位;在政治行为层面,初步探索的制度型反腐路径逐渐摒弃.     

英语教学中的口语纠错

语言错误在学习英语的过程中是一种普遍现象。学生的语言错误来源比较复杂,致使一些错误很难严格归类。在国内英语教学中,有必要纠正学生的口语错误。在纠错过程中应注重操作策略,以利学生英语口语能力的有效发展。     

几种常见的参考文献著录差错评析及解决对策

在学术期刊的来稿中,参考文献著录错误较为常见,同时它也是期刊编辑工作中比较棘手的问题。文章结合编辑工作实际,列出几种常见的参考文献著录错误并对其产生原因进行分析,进而提出了在实际编辑工作中的一些纠错措施。     

浅析语言学习中的错误及对策

学生语言学习的错误主要有两类操作性错误即语法错误与交际性错误,对于一般性语法错误,不要纠正过多.对于交际性错误要给予重视,要注意加强社会文化教育.     

On the asymptotic normality of the R-estimators of the slope parameters of simple linear regression models with associated errors

ABSTRACT

The purpose of this paper is to prove, under mild conditions, the asymptotic normality of the rank estimator of the slope parameter of a simple linear regression model with stationary associated errors. This result follows from a uniform linearity property for linear rank statistics that we establish under general conditions on the dependence of the errors. We prove also a tightness criterion for weighted empirical process constructed from associated triangular arrays. This criterion is needed for the proofs which are based on that of Koul [Behavior of robust estimators in the regression model with dependent errors. Ann Stat. 1977;5(4):681–699] and of Louhichi [Louhichi S. Weak convergence for empirical processes of associated sequences. Ann Inst Henri Poincaré Probabilités Statist. 2000;36(5):547–567].     

Comparison of the effectiveness of forecasts obtained by means of selected probability functions with respect to forecast error distributions

The forecasting of sales in a company is one of the crucial challenges that must be faced. Nowadays, there is a large spectrum of methods that enable making reliable forecasts. However, sometimes the nature of time series excludes many well-known and widely used forecasting methods (e.g., econometric models). Therefore, the authors decided to forecast on the basis of a seasonally adjusted median of selected probability distributions. The obtained forecasts were verified by means of distributions of the Theil U² coefficient and unbiasedness coefficient.     

Operational Risk in Financial Services: A Review and New Research Opportunities

We present a framework to describe and analyze operational risk in financial services from an operations management perspective, focusing in particular on process design, process management, and human behavior aspects. The financial services industry differs from other service industries in ways that affect the nature of the operational risks it is subject to. In recent decades, many books and papers have focused on operational risk in financial services; however, this literature has focused mainly on the conceptual and statistical aspects of operational risk management and not on its operational aspects. Operational risk in financial services has not received much attention from the operations management community. The framework presented here is based on the premise that operational risk in financial services can reap significant benefits from research done in the theory and practice of operations management in manufacturing industries as well as in other services industries. The objective of this study is to propose particular challenges and questions raised in the practice of operational risk management that may stimulate future research in this particular area of operations management.     

外语教学中的文化错误与跨文化意识的培养

在目前的外语教学中,教师一般只重视对学生语言能力的培养,而忽视了文化的因素;因而学生在用英语交际的过程中,经常犯一些文化错误。解决此问题的主要方法是对学生进行跨文化意识的培养,提高他们对文化的敏感性,最终达到顺利交际的目的。     

Generalized Expected Utility, Heteroscedastic Error, and Path Dependence in Risky Choice

We evaluate the fit of several generalized expected utility models under homoscedasticity and three different heteroscedastic error structures for the data set first reported in Hey and Orme (1994). Standard chi-squared tests are used for nested tests, and both the Akaike (1973) information criterion and its consistent version (Hurvich and Tsai, 1989) are used for non-nested ranking of these models. A testing framework is developed that explicitly accounts for the path-dependent nature of the model selection problem. Not only does the selection of preference models depend on the error structure assumed, but the reverse is also true: the selection of the error structure depends on the preference structure assumed. An erratum to this article is available at .