A Comparison of the Performance of Phase II Simple Linear Profile Control Charts when Parameters are Estimated

The standard deviation of the average run length (SDARL) is an important performance metric in studying the performance of control charts with estimated in-control parameters. Only a few studies in the literature, however, have considered this measure when evaluating control chart performance. The current study aims at comparing the in-control performance of three phase II simple linear profile monitoring approaches; namely, those of Kang and Albin (2000), Kim et al. (2003), and Mahmoud et al. (2010). The comparison is performed under the assumption of estimated parameters using the SDARL metric. In general, the simulation results of the current study show that the method of Kim et al. (2003) has better overall statistical performance than the competing methods in terms of SDARL values. Some of the recommended approaches based solely on the usual average run length properties can have poor SDARL performance.     

英汉国俗语义的等效翻译

翻译作为不同文化间思想交流的主要手段,除注意准确选词、使用合适的句法形式外,更应注意积淀在词汇上的历史文化、民情风俗、地理环境等文化色彩语义,即国俗语义。只有对词汇国俗语义的等值转换,才能最大程度地减少因翻译带来的信息差,尽可能做到等效翻译,来更好地促进文化间的交流,实现翻译的真正价值。     

重评陈独秀大革命中的纠“左”问题

大革命时期陈独秀的三次纠“左”皆是无可厚非的。国共两党关系过早的破裂,主要是由于工农运动中的“左”倾错误激化了两党矛盾。而大革命的失败,关键在于共产党没有自己的军队。陈独秀的右倾,不在于对“左”倾现象的纠正,而是不敢组建共产党独立领导的军队。在民主革命时期的国共合作中。只有以军队领导权、统一战线、群众运动为序处理好三者的关系,才能立于不败之地。     

Computing optimal adjustment schemes for the general tool-wear problem

An important problem in process adjustment using feedback is how often to sample the process and when and by how much to apply an adjustment. Minimum cost feedback schemes based on simple, but practically interesting, models for disturbances and dynamics have been discussed in several particular cases. The more general situation in which there may be measurement and adjustment errors, deterministic process drift, and costs of taking an observation, of making an adjustment, and of being off target, is considered in this article. Assuming all these costs to be known, a numerical method to minimize the overall expected cost is presented. This numerical method provides the optimal sampling interval, action limits, and amount of adjustment; and the resulting average adjustment interval, mean squared deviation from target, and minimum overall expected cost. When the costs of taking an observation, of making an adjustment, and of being off target are not known, the method can be used to choose a particular scheme by judging the advantages and disadvantages of alternative options considering the mean squared deviation they produce, the frequency with which they require observations to be made, and the resulting overall length of time between adjustments. Computer codes that perform the required computations are provided in the appendices and applied to find optimal adjustment schemes in three real examples of application.     

The mad estimator: when is it non-linear? applications to two-way design models

The mean absolute deviation (MAD) estimator has recently received a great deal of attention as applied to full-rank linear regression models. This paper provides a necessary and sufficient condition for the MAD estimator to be a non-linear estimator, in which case conditions for the variance of the MAD estimator to be larger or smaller than those for OLS are, in general, unknown. The non-linearity of the MAD estimator is examined for several two-way designs; in particular (1) randomized block design (2) two-way nested design (3) two-way classification with interaction and (4) partially balanced incomplete block design     

Flexible regression modeling

The author proposes a new method for flexible regression modeling of multi‐dimensional data, where the regression function is approximated by a linear combination of logistic basis functions. The method is adaptive, selecting simple or more complex models as appropriate. The number, location, and (to some extent) shape of the basis functions are automatically determined from the data. The method is also affine invariant, so accuracy of the fit is not affected by rotation or scaling of the covariates. Squared error and absolute error criteria are both available for estimation. The latter provides a robust estimator of the conditional median function. Computation is relatively fast, particularly for large data sets, so the method is well suited for data mining applications.     

解析脑筋急转弯中的认知语境工作机制

交际过程实际是人们借助语境对交际信息的认知过程.而脑筋急转弯总是传递偏离双方共有的认知语境的信息,从而迭到特殊的交际效果.文章尝试从认知语境角度来探讨脑筋急转弯的交际效果,在经过测试后总结出了脑筋急转弯中的认知语境工作的机制并归纳出语境偏离的几种情况.     

社会浮躁现象发生的原因及其遏制对策

从文化冲击、人性趋向、认知偏差、个人主义化与安全方面分析社会浮躁成因。本文认为,应从重新定位政府职能、以未来作为思考基点增强变革能力、抑制人性不良趋向加强舆论监督、矫正偏差等方面预防和遏制浮躁,使社会稳定发展。     

革命立场与女性意识的较量--读《一九三○年春上海》(之二)和《夜》

在丁玲的短篇小说<一九三○年春上海>(之二)和<夜>中,作家的创作意图与作品的客观效果发生了背离其女性意识比革命立场更为引人注目;小说的艺术重心在女性意识,丁玲思想中深植的女性意识,其创作方法上的矛盾,以及社会革命与女性命运的不一致,是导致这一背离的几个原因.     

A tolerance interval approach for assessment of agreement in method comparison studies with repeated measurements

This paper generalizes the tolerance interval approach for assessing agreement between two methods of continuous measurement for repeated measurement data—a common scenario in applications. The repeated measurements may be longitudinal or they may be replicates of the same underlying measurement. Our approach is to first model the data using a mixed model and then construct a relevant asymptotic tolerance interval (or band) for the distribution of appropriately defined differences. We present the methodology in the general context of a mixed model that can incorporate covariates, heteroscedasticity and serial correlation in the errors. Simulation for the no-covariate case shows good small-sample performance of the proposed methodology. For the longitudinal data, we also describe an extension for the case when the observed time profiles are modelled nonparametrically through penalized splines. Two real data applications are presented.