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.     

《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.     

按单装配系统中的协同补货问题研究

多库存品的库存系统中各库存品具有需求相关性在现实中很常见,但许多关于库存的文献并没有考虑这一点.针对按单装配系统的特性,本文研究了不同部件需求具有相关性的情况下的库存控制问题,分析了不同部件独立补货和不同部件协同补货两种补货策略.数值分析表明,按单装配系统中部件协同补货策略比部件独立补货策略具有更低的总成本.     

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.     

Record-breaking data: a parametric comparison of the inverse-sampling and the random-sampling schemes

In many industrial quality control experiments and destructive stress testing, the only available data are successive minima (or maxima)i.e., record-breaking data. There are two sampling schemes used to collect record-breaking data: random sampling and inverse sampling. For random sampling, the total sample size is predetermined and the number of records is a random variable while in inverse-sampling the number of records to be observed is predetermined; thus the sample size is a random variable. The purpose of this papper is to determinevia simulations, which of the two schemes, if any, is more efficient. Since the two schemes are equivalent asymptotically, the simulations were carried out for small to moderate sized record-breaking samples. Simulated biases and mean square errors of the maximum likelihood estimators of the parameters using the two sampling schemes were compared. In general, it was found that if the estimators were well behaved, then there was no significant difference between the mean square errors of the estimates for the two schemes. However, for certain distributions described by both a shape and a scale parameter, random sampling led to estimators that were inconsistent. On the other hand, the estimated obtained from inverse sampling were always consistent. Moreover, for moderated sized record-breaking samples, the total sample size that needs to be observed is smaller for inverse sampling than for random sampling.     

A latent variable model for analyzing mixed longitudinal (k,l)-inflated count and ordinal responses

A random effects model for analyzing mixed longitudinal count and ordinal data is presented where the count response is inflated in two points (k and l) and an (k,l)-Inflated Power series distribution is used as its distribution. A full likelihood-based approach is used to obtain maximum likelihood estimates of parameters of the model. For data with non-ignorable missing values models with probit model for missing mechanism are used.The dependence between longitudinal sequences of responses and inflation parameters are investigated using a random effects approach. Also, to investigate the correlation between mixed ordinal and count responses of each individuals at each time, a shared random effect is used. In order to assess the performance of the model, a simulation study is performed for a case that the count response has (k,l)-Inflated Binomial distribution. Performance comparisons of count-ordinal random effect model, Zero-Inflated ordinal random effects model and (k,l)-Inflated ordinal random effects model are also given. The model is applied to a real social data set from the first two waves of the national longitudinal study of adolescent to adult health (Add Health study). In this data set, the joint responses are the number of days in a month that each individual smoked as the count response and the general health condition of each individual as the ordinal response. For the count response there is incidence of excess values of 0 and 30.