高斯公式的一个推广

将高斯公式的条件放宽一点，使其的应用范围扩大些．证明在函数以及都在闭区域V上连续，而在V上除有限个点之外都连续的条件下，高斯公式也仍然成立．     

城乡居民消费结构变动影响因素的比较分析——基于PLSR的阶段性证据

居民消费结构变动的影响因素可以根据新兴古典经济学的分析框架进行分析。虽然没有与专业化水平、交易效率和经济绩效直接对应的数据，但是可以选择一组涵盖三个方面的指标，运用偏最小二乘回归方法进行实证研究。基于1978～2005的数据，对中国城乡居民消费结构变动的影响因素进行比较分析，其结果显示了影响因素的阶段性差异。     

一类非单调二元算子新的不动点定理

利用锥理论和非对称迭代方法,讨论了不具有连续性和紧性条件的非单调二元算子方程解的存在唯一性,并给出了迭代序列收敛于解的误差估计,所得结果是某些已知结果的本质改进和推广.     

基于模糊偏序关系的软件测试评价方法

讨论了模糊理论在软件测试质量评价方面的可行性;提出了软件测试质量评价指标体系的概念和软件测试质量评价方法,即基于模糊偏序关系的评价方法;对该方法的优缺点及适用条件进行了分析;通过实例计算验证了该方法在评价软件测试质量方面的有效性。     

延安时期中国共产党局部执政方式初探

延安时期,中国共产党在其局部执政过程中,在政治体制模式、政权的组织形式、实现人民民主的途径和方式、权力运行的方式和方法以及巩固执政地位的前提等方面进行了进行了大胆而有益的尝试,采取了一系列符合当时中国国情的执政方式和方法,极大地提高了中国共产党的执政能力和水平,取得了令人瞩目的巨大成就。这对于新时期巩固中国共产党的执政地位具有十分重要的意义。     

探索性与验证性案例研究访谈问题设计:理论与案例

在区分完全探索性、局部探索性和验证性案例研究类别的基础上,探讨了理论回顾、访谈对象选择以及访谈问题设计在上述3种类型案例研究中的作用和实现方式,并通过3个实际案例研究予以详尽说明。最后,比较了3种类型案例研究访谈的异同,并就情境预研、时间与问题数量控制、访谈者注意事项、访谈问题的发展、数据收集程序安排以及理论饱和度检验6个方面的共性问题进行探讨,提出了以典型事件/实践为载体开发访谈提纲的建议。     

中立型Timoshenko射线方程的强迫振动性

研究了中立型Ｔｉｍｏｓｈｅｎｋｏ射线方程４ｔ４〔ｕ＋λｕ（ｘ，ｔ－τ）〕＋ａ２ｕｔ２－ｂ４ｕ２ｘｔ２＋ｃ４ｕｘ４＋Ｃｘ，ｔ，ｕ，ｕ（ｘ，σ（ｔ））＝ｆ（ｘ，ｔ），（ｘ，ｔ）∈Ｊ×Ｒ＋解的强迫振动性，其中Ｊ＝（０，Ｌ），Ｒ＋＝（０，∞），λ，ａ，ｂ，ｃ为非负常数，τ＞０是常数，ｕ＝ｕ（ｘ，ｔ）．     

A nonlinear mixed-effects model for multivariate longitudinal data with partially observed outcomes with application to HIV disease dynamics

The measurable multiple bio-markers for a disease are used as indicators for studying the response variable of interest in order to monitor and model disease progression. However, it is common for subjects to drop out of the studies prematurely resulting in unbalanced data and hence complicating the inferences involving such data. In this paper we consider a case where data are unbalanced among subjects and also within a subject because for some reason only a subset of the multiple outcomes of the response variable are observed at any one occasion. We propose a nonlinear mixed-effects model for the multivariate response variable data and derive a joint likelihood function that takes into account the partial dropout of the outcomes of the response variable. We further show how the methodology can be used in the estimation of the parameters that characterise HIV disease dynamics. An approximation technique of the parameters is also given and illustrated using a routine observational HIV dataset.     

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.