中国烟草学报Issue(5)：134-138,5.DOI:10.3969/j.issn.1004-5708.2014.05.022
多元统计分析及其在烟草学中的应用
Multivariate statistical analysis methods and their application in tobacco science
摘要
Abstract
The paper was intended to open a multivariate statistical analysis (MSA) window where researchers, practitioners and managers capture some systemic pictures of MSA from a view of comprehensibility. Importance, essentiality and feasibility were analyzed of MSA application to tobacco science. Five MSA methods and their applications in applied botany including tobacco were introduced in a concise way, plus advances in the methods. These methods include (1) graphs and visualization of multivariate data;(2) principle component analysis for dimension reduction;(3) cluster analysis for classification and categorization;(4) discrimination analysis for identification and diagnosis;(5) canonical correlation analysis for interdependence and dependence between 2 sets of variables. Three additional traditional MSA methods of canonical variate analysis, multivariate variance analysis and correspondence analysis were listed by means of one sentence summary of their functions. New MSA methods were also mentioned of geo-statistics, support vector machine, projection pursuit, classification and regression trees, partial least square and structural equation modeling. Bootstrap resampling technique was strongly recommended to use together with MSA in order to enhance the reliability of results.关键词
多元统计分析/烟草学/应用案例/新技术新方法Key words
multivariate statistical analysis/tobacco science/statistical application cases/new statistical techniques分类
数理科学引用本文复制引用
杨锦忠,宋希云..多元统计分析及其在烟草学中的应用[J].中国烟草学报,2014,(5):134-138,5.基金项目
泰山学者岗位（20090510）；山东省旱地作物水分高效利用创新团队 （）
