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- Multivariate statistic model 多元统计模型
- JOINT MULTIVARIATE STATISTICAL MODEL AND ITS APPLICATIONS TO SYNTHETIC EARTHQUAKE PREDICTION 多元统计组合模型在地震综合预报中的应用
- Firstly, the data model and statistic model of UCA are introduced. 较为详细地介绍了圆阵列天线的阵列模型、统计模型和模式空间概念。
- multivariate statistical model 多元统计模型
- Discriminant analysis is an important method in multivariate statistic analysis to distinguish what type an individual should belong to. 摘要判别分析是多元统计分析中判断个体所属类型的一种重要方法。
- The e-quations of impacting force changing with nozzle inclinationangle, azimuth, coede position and jet velocity have beengotten by multivariate statistic analysis. 通过对实验数据的多元统计分析,得出了各钻头齿受纵向清洗力随水力结构及喷速变化的关系式。
- Based on the principle of multivariate statistical analysis, the theoretical model of data rectification was developed. 基于多元统计分析基本原理,建立了数据校正的基本模型;
- It is a kind of multivariate statistic technique that is often used in data reduction to identify a small number of potential factors in a much larger number of manifest variables. 因素分析是一种多变量统计方法,它能够将描述某一对象的多个变量缩减为少数几个潜在变量。
- The Multivariate statistic analysis was applied in the study of Zhi Ma-flavour Chinese Spirits and its father application in the industry of liquor was also explored in this paper. 摘要在芝麻香型白酒的研制过程中,引入多变量统计分析技术,对这一统计分析方法在白酒行业中的应用做了进一步探索。
- Through the samplings of 157 industries, analyzed with multivariate statistics and back-propagation neural network model, the result of the study are as follows: 1. 本研究目的在以组织学习观点调查高科技产业影响知识整合及运作特性的因素以及知识整合凝聚核心能力的程度为何?
- Based on vehicle current statistic model, the adaptive Kalman filter to process vehicle-borne GPS data is set up. 摘要基于车辆“当前”统计模型,利用自适应卡尔曼滤波对车载GPS动态数据进行了处理。
- On this basis, probability statistic model of judging whether bidding price under cost or not is established. 在此基础上,建立了概率统计诊断模型,判断投标报价低于成本的可能性。
- These approaches, in common, take advantage of preestablished geometric and/or statistic model and a priori knowledge. 这些方法的共同之处在于它们都利用预先建立好的几何或是统计模型以及先验的知识。
- Multivariate statistical analysis has been considered as an important method of fault diagnosis due to its independence of process model and the availability of mass data in industrial process. 基于多元统计分析的故障诊断方法是故障诊断领域的一个重要研究分支,由于该方法不依赖于数学模型,计算所需的大量生产过程数据易于在工业现场获取,因而具有重要的理论价值和广泛的应用价值。
- Squared prediction error (SPE) statistic is frequently used in multivariate statistical process control and its law of variation needs further investigating. 作为多元统计过程控制方法中的常用统计量,平方预测误差(SPE)的变化规律有待深入研究。
- Whereafter,by applying observation to ordinary statistic model comprising rainfall,temperature and time factor,the main factors affectin... 工程实例表明,该方法具有预测精度较高且实时性强等特点,有较大的应用价值。
- Multivariate statistical techniques provide a means of identifying patterns of use of bank services that can be associated with certain respondent characteristics. 多变量统计技术提供了能够根据被调查的特征归纳出使用银行服务类型的方法。
- New Zealand climate change information derived by multivariate statistical and artificial neural networks approaches. 用多元统计和人工神经网络法得到的新西兰气候变化信息。
- The R-Q mode factor analysis is a meaningful multivariate statistical method, but also an ignored method. 摘要R-Q型因子分析是一种多元统计方法,但也是一种被忽视的方法。
- The method for building statistic model on amphibole of relationship between intensities in XRD pattern with cation site-occupancy is discussed in this article. 摘要阐述了用X射线粉末图上特征峰强度对已知阳离子占位建立线性统计模型,估算未知样品各阳离子占位方法。