多元统计分析

• Briefly introduces principal component analysis ( pca ) and its application in fault diagnosis , and brings several computational methods of pca , based on which principal component recursion ( pcr ) and partial least squares ( pls ) . 3
  介绍了基于多元统计分析的故障诊断方法的主要数学工具，包括主元分析( pca ) 、主元回归( pcr )和部分最小二乘( pls ) ，简单分析了它们在故障诊断中的应用特点，为应用打下理论基础。
• We hope some useful experience can be obtained . by applying the quantitative multivariable factor analysis method , the fourth part puts forward the establishment of the early - warning and monitoring system in light of the selected 22 economic and financial indicators
  文章第四部分选取22个经济金融变量指标，利用多元统计分析中的多变量因子分析法，对我国的金融脆弱性状况进行定量分析，提出了建立我国金融脆弱性的预警监测体系。
• Analyses of results are also given , comparative experiments show that the beat approach in this paper is better than conventional hierarchy clustering technique , and much better than multivariate statistical analyses such as principle component analyses on dimension reduction based feature encoding
  另外比较实验结果表明文中的最好方法其系统性能好于目前广泛采用的分层聚类技术，并远好于多元统计分析技术，例如主成分分析的特徵降维编码。
• Then by methods of fractionation of inorganic and organic p in soils and multivariate statistical analysis , this paper discussed phosphorus fractions in soils with three fertility levels and in different soil layers . the affecting factors on fast - available p ( avail . p ) were also related
  在此基础上，用无机磷分级和有机磷分组方法、多元统计分析的方法，研究了石灰性土壤不同肥力与不同土层中磷素的各种形态含量差异以及影响速效磷的因素，结果如下： 1
• However , mathematics is a subject researching the relation among objects , so that classification itself is a kind of mathematical behavior . this paper has used the datum from excavation in graveyard at qiao village , houma city , shanxi province from 1963 to 1993
  本文利用山西省侯马市乔村墓地1963年至1993年间的发掘资料，运用多元统计分析方法对墓葬中随葬的陶盆、陶釜、喇叭口斜领罐和小口有领罐进行类型学分析，以探讨多元统计分析方法应用于考古类型学研究中的可行性
• Explore the auto consumption current , influencial factors , automobile consumption ’ s stimulation economic growth , and how to promote car consumption and stimulate economic growth is the subject of this study . first , the paper discusses background , aim and meaning of the research , and summarizes the thesis theme , technical route method and main content . second , the paper analyzes the comsumption theories and economic growth theories and discusses the relation between the auto consunption and economic growth from the marxist economics , classic economics , system economics , industry economics , innovation economics etc . the theoretical foundation of this dissertationis the marxism consumption , the kennis ’ s absolute income theory , freedman ’ s long income suppose theory ect
  本项研究采用理论与实践相结合的方法,对汽车消费与经济增长的关系进行了经济学分析,探索了汽车消费拉动经济增长的理论基础;通过对波特价值链理论和产业集群理论研究,分析了汽车消费关联效应的理论基础;分析了我国汽车消费和汽车消费市场的现状,并对汽车消费进行了国际比较,指出了汽车消费的变化趋势;对影响汽车消费的各种要素作了系统的分析,明确了各种影响因素的现状和发展趋势以及它们对汽车消费趋势的影响;为了揭示汽车消费与经济增长的关系,首先进行了汽车消费对汽车产业以及关联产业的拉动作用的分析,并运用主成分分析方法和多元统计分析方法,分别就我国汽车消费对经济增长的拉动作用和吉林省汽车消费对经济增长的拉动作用进行实证分析,总结了汽车消费对关联产业和经济增长的具体影响;提出促进汽车消费、拉动经济增长的对策与建议,并指出了应进一步研究的领域。
• The paper analyzes systematically the textile comprehensive economic power in tianjin . it applies muti - element statistics to comprehensive settlement on datas to design a stepshaped index system , selects the principal component analysis to compare and analyze the data of 31 provines and cities of china in 2000
  应用多元统计分析对数据的综合处理方法确定了指标体系，采用主成分分析法对全国31个省市的2000年数据进行比较分析，提出了用第一主成分作为度量一个地区综合经济实力的观点。
• It puts up quantitative analysis on the otherness of area structure in highway investment by means of anova analysis and rank test of non - parametric test in order to find out whether the extent of the otherness change . by means of cluster analysis chapter two demonstrates on the capital source structure of highway investment from 1991 in order to reflect on the change of capital source structure
  运用方差分析与非参数检验中的秩和检验对公路投资的区域结构的差异性进行了定量分析，以找出近年来公路投资的区域性差异程度是否有所变化；运用多元统计分析中的聚类分析对1991年以来公路投资的资金来源结构进行了实证分析，以反映资金来源结构的变动状况。
• The study on the development model of agricultural science and technology park : make a comprehensive survey of the agricultural science and technology park development , statistical data on the agricultural science and technology park in the year of 2002 was applied to do macro analysis , with the result of development problems and propose the settlement . this study is conducted based on typical case study and theoretical analysis from the aspects of growing background , overall effect , operating model and the driving force in four national agricultural science and technology parks : shandong vegetables demonstrating park , henan xuchang national park , gansu dingxi park and beijing shunyi three - hi agricultural pilot model area . then analyse and sum up the general laws and different points . the creative research of this paper lines in raising the new theory of sci - tech agricultural industry organization for the first time , build up the theory analysis framework for agricultural science and technology park ; according to the theory analysis framework , sum up the development general model from choosing the national agricultural park in typical region ; build up th
  运用典型案例剖析与理论分析总结相结合的方法，分区域按照发展成效在全国范围内选取山东寿光蔬菜高科技示范园、河南许昌农业科技园区、甘肃定西旱作生态型农业科技园区和北京顺义三高农业示范区，从园区的成长背景、建设发展的总体成效、运作模式和园区发展的动力等几个方面对农业科技园区的发展进行了深入研究，并对园区发展模式的共性规律和差异之处进行了分析归纳；本文创造性的研究在于：首次提出了科技农业产业组织理论，构建了农业科技园区理论分析框架；根据这一理论分析框架，通过选取典型区域的国家农业科技园区进行实证研究，总结归纳了园区发展模式共同特征并进行了差异分析；首次提出了适用于不同评价对象和评价意图的三套国家农业科技园区评价指标体系，并创造性运用多元统计分析方法和系统分析方法对国家农业科技园区进行综合评价。
• Firstly , based on gis and rs , applying tm images of 1980 and 2000 , and related spatial data by using spatial analysis system of arc gis , in order to discuss the progress of land use / cover change in study areas both on space and time , moreover , analyze land use spatial dynamic change and transform secondly , applying the soc _ economical statistic data during 1980 - 2000 , to analyze the main driving forces and driving mechanism of land use change , an index system representing land use change and main driving forces is submitted
  首先，在地理信息系统( gis )和遥感( rs )技术支持下，利用1980年和2000年的tm影像以及有关空间数据，采用arcgis的空间分析方法，研究县域土地利用覆盖的时空变化特征，分析各土地利用类型间相互转移情况。其次，利用1980 - 2000的社会经济统计数据，运用多元统计分析方法，在时间序列上，揭示区域耕地变化的主要驱动力和驱动机制。