战略联盟--企业竞争新模式

战略联盟是企业之间为了一定目的 ,通过一定方式组成的网络式联合体。面对日趋激烈的市场竞争和外部环境的变化 ,企业之间既竞争又合作 ,战略联盟是一种全新的企业竞争模式     

法治及其与德治关系论

人类关于法的经验和原理,揭示了法治的含义与构成,法治在西方和非西方地区的历史和实践及其与德治的关系表明,法治之法应有道德性,但法治是现代社会的主流控制模式,是未来中国的必由之路。     

Bayesian analysis of mixture modelling using the multivariate t distribution

A finite mixture model using the multivariate t distribution has been shown as a robust extension of normal mixtures. In this paper, we present a Bayesian approach for inference about parameters of t-mixture models. The specifications of prior distributions are weakly informative to avoid causing nonintegrable posterior distributions. We present two efficient EM-type algorithms for computing the joint posterior mode with the observed data and an incomplete future vector as the sample. Markov chain Monte Carlo sampling schemes are also developed to obtain the target posterior distribution of parameters. The advantages of Bayesian approach over the maximum likelihood method are demonstrated via a set of real data.     

大小班结合的多媒体教学模式之实证研究

在从理论上探讨大小班结合的多媒体教学模式可行性的基础上,以三峡大学200名学生为研究对象,对该校一年半来采用该模式的授课效果进行了实证性研究。实验结果表明,大学英语采用大小班结合的多媒体教学模式比传统教学模式更有利于培养学生的综合运用能力,尤其是学生的听说能力。     

Merging information for semiparametric density estimation

Summary.  The density ratio model specifies that the likelihood ratio of m −1 probability density functions with respect to the m th is of known parametric form without reference to any parametric model. We study the semiparametric inference problem that is related to the density ratio model by appealing to the methodology of empirical likelihood. The combined data from all the samples leads to more efficient kernel density estimators for the unknown distributions. We adopt variants of well-established techniques to choose the smoothing parameter for the density estimators proposed.     

Estimation of Hazard, Density and Survivor Functions for Randomly Censored Data

Maximum likelihood estimation and goodness-of-fit techniques are used within a competing risks framework to obtain maximum likelihood estimates of hazard, density, and survivor functions for randomly right-censored variables. Goodness-of- fit techniques are used to fit distributions to the crude lifetimes, which are used to obtain an estimate of the hazard function, which, in turn, is used to construct the survivor and density functions of the net lifetime of the variable of interest. If only one of the crude lifetimes can be adequately characterized by a parametric model, then semi-parametric estimates may be obtained using a maximum likelihood estimate of one crude lifetime and the empirical distribution function of the other. Simulation studies show that the survivor function estimates from crude lifetimes compare favourably with those given by the product-limit estimator when crude lifetimes are chosen correctly. Other advantages are discussed.     

On Optimality of Bayesian Wavelet Estimators

Abstract.  We investigate the asymptotic optimality of several Bayesian wavelet estimators, namely, posterior mean, posterior median and Bayes Factor, where the prior imposed on wavelet coefficients is a mixture of a mass function at zero and a Gaussian density. We show that in terms of the mean squared error, for the properly chosen hyperparameters of the prior, all the three resulting Bayesian wavelet estimators achieve optimal minimax rates within any prescribed Besov space     for p  ≥ 2. For 1 ≤  p  < 2, the Bayes Factor is still optimal for (2 s +2)/(2 s +1) ≤  p  < 2 and always outperforms the posterior mean and the posterior median that can achieve only the best possible rates for linear estimators in this case.     

现代多媒体网络背景下的教与学

以Internet为背景的多媒体网络技术运用于教育,为有效整合教学内容、全面提高教育质量提供了先进的手段和技术支持,也为素质教育提供了环境支持。结合实际教学经验,探讨了多媒体网络技术在教育教学过程中的应用,认为多媒体网络技术促进了课件的开发和设计,实现了师生间的交互教学,利用网络教学技术平台软件实现教与学的交互。     

高校体育教育专业人才培养模式的现状与对策

文章对高校体育教育专业人才培养模式现状进行了分析,通过对修订培养目标、拓宽培养途径、优化课程设置、改革教学方法、提高师资力量等方面的研讨,进一步明确了高校体育教育专业人才培养模式改革的基本思路,以促进高校体育教育专业教学质量和人才质量的提高。     

Robust testing with generalized partial linear models for longitudinal data

By approximating the nonparametric component using a regression spline in generalized partial linear models (GPLM), robust generalized estimating equations (GEE), involving bounded score function and leverage-based weighting function, can be used to estimate the regression parameters in GPLM robustly for longitudinal data or clustered data. In this paper, score test statistics are proposed for testing the regression parameters with robustness, and their asymptotic distributions under the null hypothesis and a class of local alternative hypotheses are studied. The proposed score tests reply on the estimation of a smaller model without the testing parameters involved, and perform well in the simulation studies and real data analysis conducted in this paper.