经济全球化与我国民族地区社会经济发展

随着经济全球化的发展,我国民族地区社会经济发展不可避免地受到影响。民族地区应尽快顺应经济全球化潮流,增强全球意识,寻找适当的经济发展对策,逐步形成新的经济发展思路。     

立足民族地方应用型人才培养全面推进学校转型发展

引导部分地方本科院校向应用型转变是中国高等教育改革的一项重大决策，既是国家战略、社会需要、学生诉求，也是学 校的使命与挑战，更是新建地方本科院校生存发展的选择。西昌学院自2006 年以来就应用型办学进行了10 余年的探索与实 践，立足校情，坚持办学定位的区域性、专业设置的地方性、培养目标的职业性、教学过程的实践性，2015 年成为四川省惟一一 所公办本科整体转型发展的试点学校。根据10 余年的实践，着重介绍了“一个推进、两个定位、三个改变、四个减少、五个增 加”的转型思路和具体作法     

关于西南民族心理研究的构想

西南民族心理研究对于西南乃至整个国家的发展、民族和谐和社会稳定具有十分重要和特殊的意义.总体而言,在研究目标上要进一步强化为社会发展与稳定、为建立和谐社会服务的功能,在研究内容上应特别注重系统性和综合性的研究,在方法论上还需充分重视质性研究和量化研究的紧密结合、思辨分析与实证调查的紧密结合.     

西部大开发中的技术创新战略

在入世背景下,西部大开发所面临挑战从根本上说就是以科学技术为核心的国际竞争,西部地区的相对落后状况决定了西部地区科学技术及其产业化发展必须确立合理的技术创新战略,从而促使西部地区在资源的综合性深层合理开发与竞争优势的有效建构之中实现历史性的跨越。     

Empirical Likelihood Inference for the Parameter in Additive Partially Linear EV Models

In this article, we consider empirical likelihood inference for the parameter in the additive partially linear models when the linear covariate is measured with error. By correcting for attenuation, a corrected-attenuation empirical log-likelihood ratio statistic for the unknown parameter β, which is of primary interest, is suggested. We show that the proposed statistic is asymptotically standard chi-square distribution without requiring the undersmoothing of the nonparametric components, and hence it can be directly used to construct the confidence region for the parameter β. Some simulations indicate that, in terms of comparison between coverage probabilities and average lengths of the confidence intervals, the proposed method performs better than the profile-based least-squares method. We also give the maximum empirical likelihood estimator (MELE) for the unknown parameter β, and prove the MELE is asymptotically normal under some mild conditions.     

Coherent Frequentism: A Decision Theory Based on Confidence Sets

By representing fair betting odds according to one or more pairs of confidence set estimators, dual parameter distributions called confidence posteriors secure the coherence of actions without any prior distribution. This theory reduces to the maximization of expected utility when the pair of posteriors is induced by an exact or approximate confidence set estimator or when a reduction rule is applied to the pair. Unlike the p-value, the confidence posterior probability of an interval hypothesis is suitable as an estimator of the indicator of hypothesis truth since it converges to 1 if the hypothesis is true or to 0 otherwise.     

Orthogonally Blocked Mixture Experiments in Ellipsoidal Restricted Regions

In practical situations involving mixtures formed from several ingredients, interest is sometimes centered on the response in an ellipsoidal neighborhood around a standard formulation. We show that standard, orthogonally blocked, response surface designs, defined on a q ? 1 dimensional unit sphere, may be transformed into similarly orthogonally blocked q-ingredient mixture designs defined within an ellipsoid centered at the standard formulation. The method is illustrated using several examples of mixture experiments with three, four, and five ingredients, arranged in two, three, or four orthogonal blocks, obtained by projecting standard central composite designs and Box–Behnken designs into the ellipsoidal mixture region. Rotations of the resulting designs within the ellipsoidal regions are also considered.     

Sample-size requirements for confidence bounds of prescribed precision on multivariate normal quantiles

The problem of setting confidence bounds on a central multivariate normal quantile is considered. It is shown that for the setting of exact confidence bounds of specified closeness to the quantile,the required minimum size of a normal sample is large and rises rapidly with the number of variates considered.     

Predictive inference for linear and multivariate linear models with ma(1) error processes

The prediction distributions of future responses from the linear and multivariate linear models with errors having a first order moving average (MA(1)) process have been derived. First, we obtained the marginal likelihood function for the moving average parameter 6 and from this likelihood function we estimate the maximum likelihood estimates (MLE) of θ. Using the estimated value θ, we have derived the prediction distributions as well as prediction regions for the future responses. An example has been included.