否定转移及其成因和机制

本文首先对否定转移进行了重新界定 ;然后探讨了否定转移的成因 ,认为否定转移有其语义上的可能性和语用上的必要性 ;最后论述了否定转移的实现有赖于句法上的转换规则这一机制     

Regression methods for high dimensional multicollinear data

To compare their performance on high dimensional data, several regression methods are applied to data sets in which the number of exploratory variables greatly exceeds the sample sizes. The methods are stepwise regression, principal components regression, two forms of latent root regression, partial least squares, and a new method developed here. The data are four sample sets for which near infrared reflectance spectra have been determined and the regression methods use the spectra to estimate the concentration of various chemical constituents, the latter having been determined by standard chemical analysis. Thirty-two regression equations are estimated using each method and their performances are evaluated using validation data sets. Although it is the most widely used, stepwise regression was decidedly poorer than the other methods considered. Differences between the latter were small with partial least squares performing slightly better than other methods under all criteria examined, albeit not by a statistically significant amount.     

Modelling the impact of performance management practices on firm performance: interaction with human resource management practices

The paper draws on resource orchestration theory to investigate whether and how performance management (PM) practices interact with human resource management (HRM) practices in organisations as well as how this interaction affects firm performance. The proposed theoretical model was tested through a survey of 192 UK firms using Partial Least Squares approach for structural equations modelling. The findings show that the effect of PM practices on firm performance is better explained when the interaction between these practices and other organisational practices is considered. In particular, we examine the extent to which the interaction between PM practices and commitment-based HRM practices affects performance. We find that when HRM practices and PM practices are misaligned, their effect on performance can be negative. This is the first paper in the PM literature that establishes the relationship between PM and HRM practices in organisations and demonstrates the effect of this relationship on firm performance.     

On mantel-haenszel type estimators in simple nested case-control studies

We are concerned with nested case-control studies in this article. For proportional hazards model, a class of over-all estimators of hazard ratios is presented when simple samples are drawn from risk sets. These estimators have the form of the Mantel-Haenszel estimator of odds ratio, and are consistent not only for large strata, but also for sparse data. Consistent estimators of the variances of the proposed hazard ratio estimators are also developed. An example is given to illustrate the proposed estimators.     

关于真分式的部分分式分解

给出了把真分式分解为部分分式之和的一个简便方法。     

An overview of model-robust regression

The proper combination of parametric and nonparametric regression procedures can improve upon the shortcomings of each when used individually. Considered is the situation where the researcher has an idea of which parametric model should explain the behavior of the data, but this model is not adequate throughout the entire range of the data. An extension of partial linear regression and two other methods of model-robust regression are developed and compared in this context. The model-robust procedures each involve the proportional mixing of a parametric fit to the data and a nonparametric fit to either the data or residuals. The emphasis of this work is on fitting in the small-sample situation, where nonparametric regression alone has well-known inadequacies. Performance is based on bias and variance considerations, and theoretical mean squared error formulas are developed for each procedure. An example is given that uses generated data from an underlying model with defined misspecification to provide graphical comparisons of the fits and to show the theoretical benefits of the model-robust procedures. Simulation results are presented which establish the accuracy of the theoretical formulas and illustrate the potential benefits of the model-robust procedures. Simulations are also used to illustrate the advantageous properties of a data-driven selector developed in this work for choosing the smoothing and mixing parameters. It is seen that the model-robust procedures (the final proposed method, in particular) give much improved fits over the individual parametric and nonparametric fits.     

毛泽东对辩证法规律理论的创新

创立独具中国特色的辩证法规律理论 ,是毛泽东对马克思主义哲学的创新。毛泽东系统发挥了列宁关于以矛盾为核心的辩证法理论纲要 ,在吸取 2 0世纪 30年代中国和前苏联哲学家理论研究成果的基础上 ,以特有的中华民族风格和气派 ,科学建构了完备的对立统一理论形态。毛泽东以马克思主义普遍原理与中国革命建设相结合的实践经验为依据 ,凝炼概括了唯物辩证法的新规律 :内外因相互作用规律、新陈代谢规律、波浪式发展规律 ,丰富了开放的辩证法规律系统     

A Partial Likelihood Estimator of Vaccine Efficacy

A partial likelihood method is proposed for estimating vaccine efficacy for a general epidemic model. In contrast to the maximum likelihood estimator (MLE) which requires complete observation of the epidemic, the suggested method only requires information on the sequence in which individuals are infected and not the exact infection times. A simulation study shows that the method performs almost as well as the MLE. The method is applied to data on the infectious disease mumps.     

Partial Least Squares: A First-order Analysis

We compare the partial least squares (PLS) and the principal component analysis (PCA), in a general case in which the existence of a true linear regression is not assumed. We prove under mild conditions that PLS and PCA are equivalent, to within a first-order approximation, hence providing a theoretical explanation for empirical findings reported by other researchers. Next, we assume the existence of a true linear regression equation and obtain asymptotic formulas for the bias and variance of the PLS parameter estimator