Abstract
The main concepts of several multivariate statistical methods used for analyzing and classifying stored-grain infestation data observed during a decade's ecological studies is presented briefly in non-mathematical language with simple diagrams to encourage their use by stored-product entomologists. The mathematical assumptions and limitations of cluster analysis, multiple regression analysis, principal component analysis, factor analysis, canonical correlation analysis and discriminant analysis are given. Original examples of application and interpretation of principal component analyses to insect- and mite-infested wheat and rapeseed bulks on western Canadian farms are given, as this method was found to be the most useful hypothesis-formulating tool.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
