利用Teager-Kaiser算子的多径信号抑制

为了解决多径干扰对无线定位精度的影响,该文在传统的窄带相关技术的基础上,利用TK算子对其进行改进。改进后的技术在不过多地增加计算负担的情况下,不仅保持了窄带相关技术对于长时延多径信号抑制的功能,而且还改善了其对短时延多径信号抑制效果不佳的缺陷。仿真结果证明,该算法对于无线信道的多径信号抑制起到了一定的改善作用,从而提高了无线定位精度。所以,该研究对于无线定位技术的工程应用和理论研究具有一定的参考价值。     

Small area estimation: the EBLUP estimator based on spatially correlated random area effects

This paper deals with small area indirect estimators under area level random effect models when only area level data are available and the random effects are correlated. The performance of the Spatial Empirical Best Linear Unbiased Predictor (SEBLUP) is explored with a Monte Carlo simulation study on lattice data and it is applied to the results of the sample survey on Life Conditions in Tuscany (Italy). The mean squared error (MSE) problem is discussed illustrating the MSE estimator in comparison with the MSE of the empirical sampling distribution of SEBLUP estimator. A clear tendency in our empirical findings is that the introduction of spatially correlated random area effects reduce both the variance and the bias of the EBLUP estimator. Despite some residual bias, the coverage rate of our confidence intervals comes close to a nominal 95%.     

我国中小企业国际化成长相关因素的实证分析

选取深圳证券交易所中小企业71家上市公司为样本，考察了我国中小企业国际化成长的影响因素。研究结果显示我国中小企业国际化成长与企业创业时间无关，与企业高管层的国际化知识经验水平及企业外资背景正相关，与企业资本／劳动比率和技术水平负相关。劳动密集型企业的国际化进程要优于资本密集型和高技术型企业。我国中小企业应提升高管层的国际化知识和经验水平，充分发挥“新生学习优势”，从国际化的过程中增强对国际市场机会的判断和利用能力；同时，利用外资开展内向国际化，是提高外向国际化水平的有效途径。     

川中丘陵区小麦品种绵阳26号的产量构成因素分析

运用相关、通径分析的方法分析了四川省小麦主推品种绵阳 2 6号的产量及其构成因素之间的关系。结果表明 ,绵阳 2 6号小麦品种千粒重的变异不大 ,穗粒数是产量构成的最重要因素 ,合理的有效穗是高产的前提。     

基于GEM模型的企业集群竞争力评价

针对目前中国企业集群发展中存在竞争力评价方法不完善的问题，在对企业集群特性进行研究的基础上，利用灰色关联评价法对研究企业集群竞争力评价的GEM模型进行了改进和完善，使其在评价企业集群竞争力方面弥补了以往评价过程中的主观性，使评价结果更客观和准确。     

浅析大学生自尊与心理健康的关系

大学生自尊是大学生个体在社会实践过程中获得的一种对自我积极的评价性和情感性体验。通过调查发现,自尊水平高的大学生,无论是总体水平还是具体指标上,其心理健康状况较好。自尊是心理健康的重要标志,自尊水平影响个体的社会适应。自尊对大学生心理健康有着积极的影响。因此高校心理健康教育应采取多种措施提升大学生自尊水平。     

ASYMPTOTIC EFFICIENCY OF THE BLEST‐TYPE TESTS FOR INDEPENDENCE

Blest (2000, Aust. N. Z. J. Stat. 42 , 101–111) proposed a new measure of rank correlation that is sensitive to discrepancies in the small ranks. This paper investigates the efficiency properties of non‐parametric tests for independence based on Blest's correlation coefficient and its modifications. Pitman efficiency comparisons are made with analogous tests existing in the literature. Conditions for Pitman optimality of the Blest‐type tests are established.     

进口对辽宁省经济增长贡献度的实证分析——基于时变参数卡尔曼滤波的估计

为了探寻辽宁对外经济发展的合理模式，从进口与经济增长间的关系入手，选用1985～2007年辽宁省的进口和地区生产总值数据，利用时变参数的分析方法对二者进行相关性分析，得出了进口对辽宁省的经济增长存在促进作用，而且这种作用随时递增的结论。因此，辽宁省应充分发挥进口对经济增长的积极作用，以快速实现辽宁老工业基地的振兴。     

An alternative estimator for multiple characteristics in PPS sampling

The problem considered relates to large-scale sample surveys. A new estimator of population total for the characteristics that are poorly correlated with the selection probabilities has been developed for the PPSWR sampling scheme. The relative efficiency of the proposed estimator has been studied under a super-population model. A numerical investigation into the performance of the estimator has also been made.     

COVARIANCE MODELS FOR LATTICE DATA

Given observations on an m × n lattice, approximate maximum likelihood estimates are derived for a family of models including direct covariance, spatial moving average, conditional autoregressive and simultaneous autoregressive models. The approach involves expressing the (approximate) covariance matrix of the observed variables in terms of a linear combination of neighbour relationship matrices, raised to a power. The structure is such that the eigenvectors of the covariance matrix are independent of the parameters of interest. This result leads to a simple Fisher scoring type algorithm for estimating the parameters. The ideas are illustrated by fitting models to some remotely sensed data.