Application of Fisher's Discriminant Method and Bayes' Discriminant Method Based on “R Language Analysis” as an Example

ManLi Zhang, Guangli Xu, Hui Zhang

Abstract


Discriminant analysis is a statistical discriminant and grouping technique, which uses the sample data of the research object to find a discriminant rule, which is called a discriminant function, which is used to explain the difference between two or more groups of groups and can classify a new product. The data determines which of the known types the new product belongs to. This paper discusses the discriminant analysis of Fisher's discriminant method and Bayes' discriminant method, and shows the application of the two methods in real life and the difference between them on the basis of R language.


Keywords


Fisher's Test; Bayes' Test

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References


Wu XZ. Multivariate Statistical Analysis [M]. Beijing: Renmin University of China Press, 2019.

Wang BH. Multivariate Statistical Analysis and R Language Modeling [M]. Guangzhou: Jinan University Press, 2010.




DOI: http://dx.doi.org/10.18686/esta.v9i3.240

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