On the Critical Value Behaviour of Multiple Decision Procedures

In this paper we investigate the asymptotic critical value behaviour of certain multiple decision procedures as e.g. simultaneous confidence intervals and simultaneous as well as stepwise multiple test procedures. Supposing that n hypotheses or parameters of interest are under consideration we investigate the critical value behaviour when n increases. More specifically, we answer e.g. the question by which amount the lengths of confidence intervals increase when an additional parameter is added to the statistical analysis. Furthermore, critical values of different multiple decision procedures as for instance step-down and step-up procedures will be compared. Some general theoretic results are derived and applied for various distributions.     

Seasonal forcing on the dynamics ofClethrionomys rufocanus: Modeling geographic gradients in population dynamics

We interpret gradients in population dynamics of the gray-sided vole from the southwestern part of the island of Hokkaido to its northeastern part within the framework of a phenomenological model involving the relative length of summer and winter. In Hokkaido, as in other northern regions, both spring and fall is considered as short transition periods between the two main seasons — summer (the primary breeding season) and winter (the non-reproductive or secondary breeding season). We show that the geographic transition in dynamics may be understood as the combined consequence of different patterns of density-dependence during summer and winter, and geographically varying season lengths. Differences are shown to exist between summer and winter with respect to strength of density-dependence. Direct density-dependence, in particular, is stronger during winter than during summer. A model is presented to show how relative lengths of seasons can induce both stable and periodically fluctuating population dynamics. The results are compared and contrasted with what is otherwise known about the gradient in rodent dynamics in Fennoscandia.     

高技术企业联盟知识扩散研究基于小世界网络的视角

知识通过网络可以加快扩散.作者基于NW小世界网络视角,构建高技术企业联盟知识扩散模型,揭示联盟的知识扩散特性,并运用MATLAB软件进行模拟仿真.研究发现,减小网络的特征路径长度、增大网络的集聚系数和提高成员间的知识交流频率是促进高技术企业联盟知识扩散、提高创新效率、加快知识创新的有效途径.     

侧壁射流对突扩通道流动特性的影响

讨论了垂直于突扩通道主流方向的侧壁射流对壁面压力系数、传热系数及主回流区长度的影响．采用标准κ-ε双方程湍流模型，对侧壁射流突扩通道中的流场进行了数值模拟，计算结果表明，侧壁射流位置越靠近入口，主回流区长度越短，最大压力系数位置前移，其数值增大，局部表面传热系数也增大．根据计算结果，拟合出了当侧壁射流速度与突扩通道入口平均流速之比等于2．0时，主回流区长度与侧壁射流位置的关系式。     

论声调语言音节结构成分的互动关系--声母对声调的制动作用

声调语言音节结构成分是互动互制的,声韵调相互依存相互制约.声母的清浊特性在声调变化中起决定作用;在此基础上,送气不送气也会不同程度地影响调类的分化和调值的变化;声母是否带前置辅音和冠音以及前置音的性质均会影响声调调类的分化和调值变化,但归根到底取决于整个声母的清浊特性.语音结构的变化是声韵调相互制动的结果.     

Current Situation and Prospects for the Urbanization of Chinese Migrant Workers

本论文运用年龄结构—生命周期方法分析农民工就业状况对他们城镇化的影响。基于中国企业用工年轻化、农民工失业中年化的现状，论文首先运用年龄结构—生命周期模型进行了估算，指出为了全家城镇化，农民工夫妻婚后一般需要连续工作30年。在此基础上，论文构建了农民工工作寿命表，用以估算中国具备城镇化最低限度经济能力的农民工总量。考虑到未来企业用工年龄结构的变化，预计2006年时年龄在30岁以下的6900多万农民工及其家属都已具备在城镇定居的最起码的经济条件。

关键词: 农民工城镇化?农民工就业?年龄结构—生命周期模型?工作年限?中年失业

This article uses the age‐structure/life‐cycle method to analyze the impact of migrant workers’ employment on their urbanization. Since enterprises tend to employ younger workers and unemployed migrant workers tend to be middle‐aged, we first apply the age structure/life cycle model to carry out our estimations, pointing out that in order to complete the urbanization of their families, migrant worker couples usually have to work for thirty years consecutively after marriage. On this basis, the article constructs a working life table for migrant workers and uses it to estimate the total quantity of Chinese migrant workers who have the minimum economic capacity required for urbanization. Taking into consideration future changes in the age structure of enterprise employment, we estimate that over the sixty‐ nine million migrant workers who were under thirty years old in 2006, together with their families, would already be in possession of the minimum economic conditions for settling in urban areas.     

Subset Selection in Linear Regression using Sequentially Normalized Least Squares: Asymptotic Theory

This article examines the recently proposed sequentially normalized least squares criterion for the linear regression subset selection problem. A simplified formula for computation of the criterion is presented, and an expression for its asymptotic form is derived without the assumption of normally distributed errors. Asymptotic consistency is proved in two senses: (i) in the usual sense, where the sample size tends to infinity, and (ii) in a non‐standard sense, where the sample size is fixed and the noise variance tends to zero.     

A new nonparametric synthetic EWMA control chart for monitoring process mean

The exponentially weighted moving average (EWMA) control charts are widely used in chemical and process industries because of their excellent speed in catching small to moderate shifts in the process target. In usual practice, many data come from a process where the monitoring statistic is non-normally distributed or it follows an unknown probability distribution. This necessitates the use of distribution-free/nonparametric control charts for monitoring the deviations from the process target. In this paper, we integrate the existing EWMA sign chart with the conforming run length chart to propose a new synthetic EWMA (SynEWMA) sign chart for monitoring the process mean. The SynEWMA sign chart encompasses the synthetic sign and EWMA sign charts. Monte Carlo simulations are used to compute the run length profiles of the SynEWMA sign chart. Based on a comprehensive comparison, it turns out that the SynEWMA sign chart is able to perform substantially better than the existing EWMA sign chart. Both real and simulated data sets are used to explain the working and implementation of existing and proposed control charts.     

A new non-parametric multivariate EWMA sign control chart for monitoring process dispersion

In this paper, a new non-parametric multivariate exponentially weighted moving average (NMEWMA) sign chart is proposed for monitoring the process dispersion. The run length characteristics of the NMEWMA sign chart are computed with the help of Markov chain and Monte Carlo simulations. Moreover, the NMEWMA sign chart is also used to detect changes in the process mean and dispersion simultaneously. An illustrative example is also used to explain the implementation of proposed control chart.     

On the History of the Correction for Grouping, 1873–1922

The correction for grouping is a sum of two terms, the first depending on the length of the grouping interval, the second being a periodic function of the position. Thiele (1873) studied the second term, but missed the first. Sheppard (1898) studied the first term, but missed the second. Bruns (1906) derived the first term as the aperiodic term of a Fourier series and the second as the sum of the periodic terms. He found the correction to the coefficients of the Gram–Charlier series and proved that the second term is negligible for a grouped normal distribution with at least eight groups. Independently, Fisher (1922) used the same method to derive the correction to the moments. For the normal distribution with a grouping interval less than the standard deviation Fisher proved that the second term is negligible compared with the first and with the standard error of the first four moments. Moreover, he proved that the estimates of the mean and the standard deviation obtained by the method of moments for a grouped sample with Sheppard's corrections have nearly the same variances as the maximum likelihood estimates, thus providing a new and compelling reason for using Sheppard's corrections.