Cookies Policy

This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies.

I accept this policy

Find out more here

Statistical Background to the Investigation on Preverbs

Brill’s MyBook program is exclusively available on BrillOnline Books and Journals. Students and scholars affiliated with an institution that has purchased a Brill E-Book on the BrillOnline platform automatically have access to the MyBook option for the title(s) acquired by the Library. Brill MyBook is a print-on-demand paperback copy which is sold at a favorably uniform low price.

Access this chapter

+ Tax (if applicable)

Chapter Summary

This chapter covers the chi-square test, linear models, and correspondence analysis (CA). It briefly describes Pearson's chi-square test of independence and discusses its use in the first study on Latin preverbs. Pearson's chi-square test is one of the techniques used in hypothesis testing, aiming at testing a formal hypothesis by attempting to reject it. The chapter provides an overview of linear regression models, which are a more advanced (and powerful) statistical technique than the chi-square test. A generalized linear model (GLM) is a generalization of a linear regression model that deals with a wider range of cases. In logistic models the goal is to estimate the probability of one of the two possible outcomes, given the predictors. Mixed-effect models are an expansion of classical linear regression involving fixed effects and random effects. Multiple correspondence analysis (MCA) is a generalized extension of CA that can handle more than two variables.

Keywords: generalized linear model (GLM); Latin preverbs; linear regression models; logistic models; mixed-effect models; multiple correspondence analysis (MCA); Pearson's chi-square test



Can't access your account?
  • Tools

  • Add to Favorites
  • Printable version
  • Email this page
  • Recommend to your library

    You must fill out fields marked with: *

    Librarian details
    Your details
    Why are you recommending this title?
    Select reason:
    Methods in Latin Computational Linguistics — Recommend this title to your library
  • Export citations
  • Key

  • Full access
  • Open Access
  • Partial/No accessInformation