具有带误差逼近的赋值伪压缩映像的公共不动点迭代序列

在实一致光滑Banach空间中引入了一类新的逼近三个极值强伪压缩映象唯一公共不动点的带误差迭代序列,以及通过Petryshyn不等式讨论了该带误差迭代序列的收敛性.     

A Semi-parametric Regression Model with Errors in Variables

Abstract.  In this paper, we consider a partial linear regression model with measurement errors in possibly all the variables. We use a method of moments and deconvolution to construct a new class of parametric estimators together with a non-parametric kernel estimator. Strong convergence, optimal rate of weak convergence and asymptotic normality of the estimators are investigated.     

Towards Enhancement of the Economy of a Thermal Power Generating System through Prediction of Plant Efficiency

The plant ‘Heat Rate’ (HR) is a measure of overall efficiency of a thermal power generating system. It depends on a large number of factors, some of which are non-measurable, while data relating to others are seldom available and recorded. However, coal quality (expressed in terms of ‘effective heat value’ (EHV) as kcal/kg) transpires to be one of the important factors that influences HR values and data on EHV are available in any thermal power generating system. In the present work, we propose a prediction interval of the HR values on the basis of only EHV, keeping in mind that coal quality is one of the important (but not the only) factors that have a pronounced effect on the combustion process and hence on HR. The underlying theory borrows the idea of providing simultaneous confidence interval (SCI) to the coefficients of a p-th p(≥1) order autoregressive model (AR(p)). The theory has been substantiated with the help of real life data from a power utility (after suitable base and scale transformation of the data to maintain the confidentiality of the classified document). Scope for formulating strategies to enhance the economy of a thermal power generating system has also been explored.     

《中华人民共和国会计法》英译文简评

评述了我国会计法英译文中突出存在的词汇和句法两个方面的主要错误 ,指出在翻译中国法律文件时要做到的一点是遵循一定的法律文件英译规律 ,如突出法律行为的主体、不滥用被动句、遵守原文的句型等 ,并且要吃透原文而加以忠实翻译 ,呼吁提高国家级的法律文件英译文的质量 ,尽快开展省级涉外法规的英译及其规范化工作     

语篇的衔接与连贯问题

语篇源自语言交际,是高于句子的层面,表示一个整体意义;语篇的衔接与连贯,分属两个概念,应该区别对待。语篇对于连贯的依赖似乎更为明显:衔接方式得当但语义不贯通的话语不是合格的语篇,衔接方式不明显但语义贯通的话语是合格的语篇;立足于语篇的基础理论,有利于我们提高对衔接与连贯的理性思考,可有效地防止在语篇分析过程中出现较大的偏误。     

有错检验情况下标准型抽样方案的设计

本文给出了在有错检验情况下标准型抽样方案的设计方法，讨论了误检概率ｐ，ｐ′对抽样方案的影响，并给出抽样方案的实际应用。     

More (new) products,more problems? A systems perspective on increased capability deployment and organizational errors

The capabilities-based view postulates that organizational capabilities are a key driver of competitive advantage. However, while increasing the pace of deploying organizational capabilities, such as new product development (NPD), may enable alignment with changing environments, it may also have unintended consequences. In this study, we advance theory on these unintended consequences by investigating how the increased deployment of NPD capability leads to organizational errors. Borrowing from organizational research employing systems theory, we argue that an increase in NPD deployment may increase the likelihood of routine discoordination and, thus, the incidence of intra-firm and interfirm errors. However, we also proffer that firms can mitigate errors from increases in NPD capability deployment by engaging in distinct internal and external activities that enable the accumulation of knowledge on how to coordinate systemic change. We distinguish between internal and external errors, demonstrating that in the context of increased NPD deployments, internal voluntary investigations ameliorate internal manufacturing errors, while supplier alliances mitigate outsourced component errors. We find support for our predictions using data from new product introductions and recalls in the U.S. automotive industry. This study sheds light on the tension inherent to accelerating the deployment of patterned organizational activities and suggests that the outcomes of deploying an organizational capability are best viewed holistically within the milieu of organizational systems the capability spans.     

低碳视角下农业集约化、绿色化与资源再生化 的实现机制研究

在实现"碳达峰碳中和"目标的重要历史机遇期,推动实现农业集约化、绿色化和资源再生化,构建资源节约型、绿色低碳型、生态循环型的农业发展模式,对于农业可持续发展具有重要意义。以2000-2018年我国31个省份为研究对象,通过面板向量自回归模型(PVAR),刻画资源消耗、农业产出、农业碳排放之间的动态传导机制。结果表明:(1)东部农业"碳达峰"节点出现较早,东北、西部相对较晚;2018年农业碳排放居前三的省份为湖南、黑龙江、河南,居后三的为北京、天津、上海;(2)资源消耗和农业产出之间呈现"低投入高产出"的农业集约化生产模式,但影响力微弱;农业产出和农业碳排放之间"高产出高排放"的情形长期面临农业绿色化的严峻考验;农业碳排放与资源消耗之间呈现"低排放低投入"的资源再生化现象,影响力短期微弱长期较强;(3)推动实现农业集约化、绿色化、资源再生化的关键在于探索降低农业碳排放的多重路径。因此,应强化农业集约化生产,充分发展资源再生化模式,探索形成农业绿色化格局新路径,以此来加快实现碳减排目标,推动农业可持续发展。     

Correlated random effects regression analysis for a log-normally distributed variable

In regression analysis, it is assumed that the response (or dependent variable) distribution is Normal, and errors are homoscedastic and uncorrelated. However, in practice, these assumptions are rarely satisfied by a real data set. To stabilize the heteroscedastic response variance, generally, log-transformation is suggested. Consequently, the response variable distribution approaches nearer to the Normal distribution. As a result, the model fit of the data is improved. Practically, a proper (seems to be suitable) transformation may not always stabilize the variance, and the response distribution may not reduce to Normal distribution. The present article assumes that the response distribution is log-normal with compound autocorrelated errors. Under these situations, estimation and testing of hypotheses regarding regression parameters have been derived. From a set of reduced data, we have derived the best linear unbiased estimators of all the regression coefficients, except the intercept which is often unimportant in practice. Unknown correlation parameters have been estimated. In this connection, we have derived a test rule for testing any set of linear hypotheses of the unknown regression coefficients. In addition, we have developed the confidence ellipsoids of a set of estimable functions of regression coefficients. For the fitted regression equation, an index of fit has been proposed. A simulated study illustrates the results derived in this report.     

A comparison of maximum likelihood and least squares for the estimation of a cumulative distribution

Monte Carlo methods are used to compare the methods of maximum likelihood and least squares to estimate a cumulative distribution function. When the probabilistic model used is correct or nearly correct, the two methods produce similar results with the MLE usually slightly superior When an incorrect model is used, or when the data is contaminated, the least squares technique often gives substantially superior results.