A note on the robustness of Box-Behnken designs to the unavailability of data

Box-Behnken designs and central composite designs are efficient designs for fitting second order polynomials to response surfaces, because they use relatively small numbers of observations to estimate the parameters. In this paper we investigate the robustness of Box-Behnken designs to the unavailability of observations, in the sense of finding t _max , the maximum number of arbitrary rows in the design matrix that can be removed and still leave all of the parameters of interest estimable. The results are compared to the known results for the central composite designs found in MacEachern, Notz, Whittinghill & Zhu (1995). The blocked Box-Behnken designs are equally as robust as those that are not blocked. Received December 1997     

Scalability and robustness of a network resource allocation system using market-based agents

In this paper, we consider issues associated with scalability and robustness in designing a market-based multi-agent system that allocates bandwidth in a communications network. Specifically, an empirical evaluation is carried out to assess the system performance under a variety of design configurations in order to provide an insight into network deployment issues. This extends our previous work in which we developed an application that makes use of market-based software agents that compete in decentralised marketplaces to buy and sell bandwidth resources in a network that is partitioned into regions, each with a separate market server. We investigate the average call success rate and average message load per market server, as the number of markets are scaled up in a fixed size network. The same investigations are performed in the presence of single market failures. Finally, for both the failure and non-failure cases, a trade-off is found between their average call success rates and message load per server in order to find an optimum number of regions to deploy in the network.     

A Review of Simultaneous Painvise Multiple Comparisons

Abstract  A Review of Simultaneous Pairwise Multiple Comparisons. Simultaneous pairwise comparisons can be accomplished with numerous multiple comparison procedures. The methods differ in two essential ways: the choice of critical value and the specification of the estimated standard error of the mean difference. Those methods that assume homogeneous variances are not robust to violations of this assumption. The methods are contrasted via a numerical example. Results of recent Monte Carlo work are described. A choice between the G ames -H owell , D unnett , and C ochran procedures is recommended.     

多维视角下农村贫困的测度与分析

近年来,学者和政策制定者逐渐将贫困的研究视角从单一的收入贫困扩展到多维贫困。文章基于CFPS的2010年基线调查数据,采取Alkire和Foster提出的双界限方法,根据《中国农村扶贫开发纲要(2011-2020)》提出的目标任务选取贫困维度,对我国农村的多维贫困进行了测度,并对测度结果进行了稳健性分析。测度结果表明,我国农村多维贫困状况比收入贫困状况恶劣。维度分解结果表明,社会保障和生活质量等维度的剥夺情况比较严重。地区分解结果显示,西部地区被剥夺状况高于中、西部地区。稳健性分析结果显示,测度结果对权重的选取是稳健的。因此,我国在此10年中,应从多维视角识别农村贫困,有针对性地提高扶贫政策的有效性。     

M步预测控制系统的理论分析

该文分析了M步预测器为基础的控制系统,并将其与Smith预测控制进行比较,可以得出M步预测控制不但对过程纯滞后特性具有明显的补偿效果,而且在系统的稳定性和鲁棒性上比Smith预测控制具有更好的性能。     

一种基于时间轴小波变换的鲁棒性水印算法研究

针对视频水印常见的攻击和视频压缩攻击,文章提出了一种时间轴小波域的视频水印算法。该算法选取每个场景中连续的8帧视频嵌入水印,让8帧视频图像进行3重时间轴小波变换得到一个低频帧,通过自适应的方式将水印嵌入低频帧的DCT中低频系数中,从而有效地保证了水印的抗攻击性。实验结果表明,该视频水印系统在不可见的同时具有很强的鲁棒性和安全性。     

县域银行业集中度与农村信用社稳健性关系的实证分析--基于区域性金融风险防范视角

实证分析结果表明。引入市场竞争对农村信用社稳健性的影响有显著差异。在经济较发达地区,竞争程度的提高对农村信用社稳健性水平有提升作用;在经济欠发达地区,引入竞争短期内不一定能够提高农村信用社稳健性水平。因此,经济较发达地区的县域金融市场应当积极引入市场竞争来促进农村信用社的稳健发展,而经济欠发达地区的农村信用社可以通过引入先进银行业机构的资本持股并引进其先进管理经验来增强其稳健性。     

Economic importance and structural robustness of the international pesticide trade networks

Pesticides are agricultural inputs that can significantly reduce yield losses, regulate plant growth, effectively liberate agricultural productivity, and improve food security. The availability of pesticides in economies worldwide is ensured by redistribution through international trade, with different economies playing different roles in this process. In this study, we measured and ranked the importance of economies using nine node metrics. We found that the clustering coefficient was negatively correlated with the other eight node metrics, whereas the other eight node metrics were positively correlated with each other and could be grouped into three communities (betweenness; in-degree, PageRank, authority, and in-closeness; out-degree, hub, and out-closeness). We further investigated the structural robustness of international pesticide trade networks proxied by large component size under three types of shocks to economies (node removal in descending, random, and ascending orders). The results showed that, except for the clustering coefficient, international pesticide trade networks are relatively robust under shocks to economies in ascending order but fragile under shocks to economies in descending order. By contrast, removing nodes with a clustering coefficient in ascending and descending order yielded similar robustness curves. Moreover, the structural robustness related to large component size evolved over time and exhibited an inverse U-shaped pattern.     

引力模型下多级供应链网络鲁棒性研究

收集了2000家汽车供应链企业工商数据,基于引力模型建立多级供应链网络,根据企业间的流量建立"负载-容量"模型并提出多级有向网络模型的失效节点负载分配过程,而后模拟节点失效传播供应链网络的风险开展鲁棒性研究.实验结果表明:基于引力模型构建的供应链网络具有无标度特性;在基于引力模型的多级供应链网络模型中,节点的流量负载总和可以作为识别节点系统重要性的衡量指标;可控系数和最大承载系数对供应链网络鲁棒性能具有重要的影响,为实际工作中保护网络重要节点、提高网络鲁棒性提供了研究思路.