Visit www.benjamins.com

Chapter 18. Multidimensional analysis of register variation

MyBook is a cheap paperback edition of the original book and will be sold at uniform, low price.
This Chapter is currently unavailable for purchase.
Abstract

In this chapter you will learn about Principal Components Analysis and Factor Analysis. The aim of these methods is to reduce a large number of correlated quantitative variables to a small set of underlying dimensions. You will learn how to use these methods to perform corpus-based multidimensional analysis of register variation.

References

/content/books/9789027268457-19mul
dcterms_subject,pub_keyword
6
3
Loading
This is a required field
Please enter a valid email address