On the Skew-Normal-Cauchy Distribution

A fixed effects one-way layout model of analysis of variance is considered where the variances are taken to be possibly unequal. Conservative single-stage procedures based on Banerjee’s method for the solution of the Behrens-Fisher problem are proposed for the following multiple comparisons problems: 1) all pairwise comparisons with a control population mean, and 2) all pairwise comparisons and all linear contrasts among the means. Since these procedures are likely to be very conservative in practice, approximate procedures based on Welch’s method for the solution of the Behrens-Fisher problem are suggested as alternatives. Monte Carlo studies indicate that the latter are much less conservative and hence may be better in practice. Both these sets of procedures need only the tables of the Student’s t-distribution for their application and are very simple to use. Exact two-stage procedures are proposed for the following multiple comparisons problems: 1) all pairwise comparisons and all linear contrasts among the means, and 2) all linear combinations of the means.     

利用构造矩阵证明和推广一类不等式

通过构造矩阵和利用文[1]的结果,证明了一类和(积)式不等式,推广了柯西不等式及一些已有文献中的结果.     

幂群的正则表示

通过幂群在其自身的左平移作用 ,给出了有限群上幂群的正则表示 ,进而给出了幂群的正则矩阵表示。     

复行为犯的实行行为研究

复行为犯是由两个或者多个行为相结合而形成的规范的实行行为所构成的犯罪,具有规范性、实行性等特征。因其内部构成行为具有复数性,对其实行行为的单复存在着不同看法。作为犯罪实行行为的一种表现形态,复行为犯的实行行为与简单行为犯的实行行为只有自身结构复杂程度的不同,并无数目上的差别;复行为犯作为单纯一罪,只能有一个实行行为。在司法实践中认定复行为犯实行行为时,需确立4个标准：以刑法分则条文的规定为基本标准;结合实质标准;综合考虑形式标准;注意是否违反禁止重复评价原则。     

基于NK模型的学科结构复杂性研究

学科以结构形式而存在,结构是学科之间本质关系的一种反映,学科之间的差别根源在于学科结构,学科结构决定了学科的创新行为,并最终使具有不同结构的学科绩效呈现较大的差异.学科结构指学科内部的基本组成单元-科技创新元之间的交互作用方式,将学科结构分为6种,以影响矩阵的形式表达出来,并围绕"什么样的学科结构会带来更高的学科绩效"等问题,提出了学科结构的复杂性分析框架,利用NK模型对学科结构与学科绩效之间的关系进行了模拟仿真,得出了若干有益的结论.     

集值决策信息系统属性约简与规则提取的矩阵算法

在集值决策信息系统中引入了优势矩阵和决策矩阵的概念,进一步建立了集值决策信息系统广义决策约简与规则提取的矩阵算法.算法利用矩阵间的比较提取所有决策规则,并同时得到所有广义决策约简.通过实例分析验证了该算法的有效性,说明了其优点是对数据复杂的决策信息系统也可相对容易地求出所有的广义决策约简与决策规则.     

Singular weighing designs and estimation of total weight

The problem of estimation of total weight of objects using a singular spring balance weighing design has been studied in this paper. A lower bound of the estimated total weight is obtained and some classes of designs attaining the lower bound are studied.     

甘肃省“就业难”与“民工荒”问题探析

本文运用相关理论对甘肃省进行实证研究。结果表明:甘肃省经济增长对就业的拉动作用日趋减弱,就业难问题依旧严峻。此外,甘肃省三次产业结构与其对应的就业结构的发展集中体现为不协调。第一产业存在大量的隐性失业,实现农村劳动力在农业内部就业的潜力巨大;第二产业并没有因为拥有巨大的就业空间而接纳更多的劳动力;第三产业成为当前农村剩余劳动力转移的主要渠道,但在现有的状况下,未来接纳劳动力的能力有限;目前出现的就业难主要是因为劳动力技能与产业升级不相适应,造成结构性失业。民工荒并不是劳动力资源枯竭的信号,而是产业结构与劳动力就业结构存在巨大偏差造成的问题。     

An algorithm for the estimation of poisson regressions involving structural change

We consider the estimation of Poisson regression models in which structural variation in a subset of the parameters is permitted. It is noted that coventional estimation algorithms are likely to impose restrictions on the number of explanatory variables and the number of structural regimes. We propose an alternative algorithm that implements partitioned matrix inversion and thereby avoids restictions on the size of the model. The algorithm is applied to a model of shopping behavior Adjustments in the algorithm necessary for dealing with censored data are detailed.     

Bayesian Inferences and Forecasts With Multiple Autoregressive Moving Average Models

The main objective of this paper is to develop convenient Bayesian techniques for estimation and forecasting which can be used to analyze multiple (multivariate) autoregressive moving average processes. Based on the conditional likelihood function and the least squares estimates of the residuals, the marginal posterior distribution of the coefficients of the model is approximated by a matrix t distribution, the marginal posterior distribution of the precision matrix is approximated by a Wishart distribution, and the predictive distribution is approximated by a multivariate t distribution. Some numerical examples are given to demonstrate the idea of using the proposed techniques to analyze different types of multiple ARMA models.