相关分析及其在农作物病虫测报中的应用  

Correlation analysis and their applications in the forecast of agricultural diseases and insect pests

作　　者：周美军[1] 唐启义[1] 

机构地区：[1]浙江大学昆虫科学研究所,杭州310029

出　　处：《植物保护》2008年第3期133-135,共3页Plant Protection

基　　金：国家"863"计划项目(2006AA102217)

摘　　要：介绍了农业病虫害预测预报中常用的Pearson相关分析,多序列相关系数和Spearman秩相关3种相关分析方法的原理、参数估计以及统计检验的方法。结合两个实际例子介绍了多序列相关系数和Spearman秩相关的具体应用。Three correlation analysis methods, including Pearson＇s correlation coefficient, poly-serial correlation coefficient and Spearman＇s rank correlation coefficient, were introduced in this paper, and the methods of parameter estimation and statistical test of each correlation analysis were also discussed. The applications of the poly-serial correlation coefficient and Spearman＇s rank correlation coefficient were demonstrated with two practical examples.

关 键 词：农业病虫害 预测预报 相关分析 

分 类 号：S431[农业科学—农业昆虫与害虫防治]