Quantitative descriptions of geochemical patterns and providing geochemical anomaly map are important in applied geochemistry. Several statistical methodologies are presented in order to identify and separate geochemi...Quantitative descriptions of geochemical patterns and providing geochemical anomaly map are important in applied geochemistry. Several statistical methodologies are presented in order to identify and separate geochemical anomalies. The U-statistic method is one of the most important structural methods and is a kind of weighted mean that surrounding points of samples are considered in U value determination. However, it is able to separate the different anomalies based on only one variable. The main aim of the presented study is development of this method in a multivariate mode. For this purpose, U-statistic method should be combined with a multivariate method which devotes a new value to each sample based on several variables. Therefore, at the first step, the optimum p is calculated in p-norm distance and then U-statistic method is applied on p-norm distance values of the samples because p-norm distance is calculated based on several variables. This method is a combination of efficient U-statistic method and p-norm distance and is used for the first time in this research. Results show that p-norm distance of p=2(Euclidean distance) in the case of a fact that Au and As can be considered optimized p-norm distance with the lowest error. The samples indicated by the combination of these methods as anomalous are more regular, less dispersed and more accurate than using just the U-statistic or other nonstructural methods such as Mahalanobis distance. Also it was observed that the combination results are closely associated with the defined Au ore indication within the studied area. Finally, univariate and bivariate geochemical anomaly maps are provided for Au and As, which have been respectively prepared using U-statistic and its combination with Euclidean distance method.展开更多
在过程监控中,使用现代工业系统中的变量进行准确有效的监控诊断仍然是一个具有挑战性的任务.本文以多元指数加权移动平均(MEWMA)策略结合一种有监督分类器(“one plus epsilon”,简称OPE分类器),提出OPE-MEWMA控制图.在考虑不同模型、...在过程监控中,使用现代工业系统中的变量进行准确有效的监控诊断仍然是一个具有挑战性的任务.本文以多元指数加权移动平均(MEWMA)策略结合一种有监督分类器(“one plus epsilon”,简称OPE分类器),提出OPE-MEWMA控制图.在考虑不同模型、偏移模式和偏移大小的情况下,探究了控制图对均值偏移的检测能力,通过比较平均运行长度等多个指标衡量控制图的性能表现.仿真结果表明,所开发的OPE-MEWMA控制图能够快速检测到均值偏移,灵敏度较高.展开更多
【目的】探究樱桃番茄Solanum lycopersicum var. cerasiforme种质资源在银川平原地区的适应性,评价适合银川平原地区新品种选育的优良樱桃番茄育种材料。【方法】以收集到的100份樱桃番茄种质资源为研究对象,对其主要表型性状进行测定...【目的】探究樱桃番茄Solanum lycopersicum var. cerasiforme种质资源在银川平原地区的适应性,评价适合银川平原地区新品种选育的优良樱桃番茄育种材料。【方法】以收集到的100份樱桃番茄种质资源为研究对象,对其主要表型性状进行测定,利用多元统计法、灰色关联度分析法和DTOPSIS法3种不同的评价方法进行适应性综合评价。基于主成分计算出综合得分,灰色关联度法计算出加权关联度,DTPOSIS法计算出相对贴近度。【结果】100份樱桃番茄的主要表型性状的变异系数在17.78%~306.46%之间,大部分性状间存在显著或极显著相关性。26个表型性状综合成了10个主成分,累计贡献率达71.901%。以3种评价方法对各种质进行排名,结果既有统一性,也有差异性,共有4份材料均排在前10名,分别是T55、T83、T42和T87,表明T55、T83、T42和T87是表现优良的种质,其中T55的表现最为优异。【结论】T55是最适宜银川平原地区栽培的种质材料,可作为重要的育种基础材料;上述3种方法对樱桃番茄的评价结果略有不同,但无巨大差异,说明方法可行,有利于种质资源评价方面的研究。展开更多
文摘Quantitative descriptions of geochemical patterns and providing geochemical anomaly map are important in applied geochemistry. Several statistical methodologies are presented in order to identify and separate geochemical anomalies. The U-statistic method is one of the most important structural methods and is a kind of weighted mean that surrounding points of samples are considered in U value determination. However, it is able to separate the different anomalies based on only one variable. The main aim of the presented study is development of this method in a multivariate mode. For this purpose, U-statistic method should be combined with a multivariate method which devotes a new value to each sample based on several variables. Therefore, at the first step, the optimum p is calculated in p-norm distance and then U-statistic method is applied on p-norm distance values of the samples because p-norm distance is calculated based on several variables. This method is a combination of efficient U-statistic method and p-norm distance and is used for the first time in this research. Results show that p-norm distance of p=2(Euclidean distance) in the case of a fact that Au and As can be considered optimized p-norm distance with the lowest error. The samples indicated by the combination of these methods as anomalous are more regular, less dispersed and more accurate than using just the U-statistic or other nonstructural methods such as Mahalanobis distance. Also it was observed that the combination results are closely associated with the defined Au ore indication within the studied area. Finally, univariate and bivariate geochemical anomaly maps are provided for Au and As, which have been respectively prepared using U-statistic and its combination with Euclidean distance method.
文摘在过程监控中,使用现代工业系统中的变量进行准确有效的监控诊断仍然是一个具有挑战性的任务.本文以多元指数加权移动平均(MEWMA)策略结合一种有监督分类器(“one plus epsilon”,简称OPE分类器),提出OPE-MEWMA控制图.在考虑不同模型、偏移模式和偏移大小的情况下,探究了控制图对均值偏移的检测能力,通过比较平均运行长度等多个指标衡量控制图的性能表现.仿真结果表明,所开发的OPE-MEWMA控制图能够快速检测到均值偏移,灵敏度较高.
文摘【目的】探究樱桃番茄Solanum lycopersicum var. cerasiforme种质资源在银川平原地区的适应性,评价适合银川平原地区新品种选育的优良樱桃番茄育种材料。【方法】以收集到的100份樱桃番茄种质资源为研究对象,对其主要表型性状进行测定,利用多元统计法、灰色关联度分析法和DTOPSIS法3种不同的评价方法进行适应性综合评价。基于主成分计算出综合得分,灰色关联度法计算出加权关联度,DTPOSIS法计算出相对贴近度。【结果】100份樱桃番茄的主要表型性状的变异系数在17.78%~306.46%之间,大部分性状间存在显著或极显著相关性。26个表型性状综合成了10个主成分,累计贡献率达71.901%。以3种评价方法对各种质进行排名,结果既有统一性,也有差异性,共有4份材料均排在前10名,分别是T55、T83、T42和T87,表明T55、T83、T42和T87是表现优良的种质,其中T55的表现最为优异。【结论】T55是最适宜银川平原地区栽培的种质材料,可作为重要的育种基础材料;上述3种方法对樱桃番茄的评价结果略有不同,但无巨大差异,说明方法可行,有利于种质资源评价方面的研究。
