The essentials on linear regression, ANOVA, general linear and linear mixed models for the chemist

Govaerts, Bernadette;Francq, Bernard G.;Marion, Rebecca;Martin, Manon;Thiel, Michel
(2020) , 42 pages

Files

DP202012_TheessentialsonlinearregressionANOVAgenerallinearandlinearmixedmodelsforthechemist_dial.pdf
  • Open Access
  • Adobe PDF
  • 1.48 MB

Details

Authors
  • Govaerts, Bernadetteorcid-logoUCLouvain
    Author
  • Francq, Bernard G.UCLouvain
    Author
  • Marion, Rebeccaorcid-logoUCLouvain
    Author
  • Martin, Manonorcid-logoUCLouvain
    Author
  • Thiel, Michelorcid-logoUCLouvain
    Author
Abstract
This text provides a brief and accessible guide for implementing general, ANOVA and linear mixed models for the analysis of real world data from chemistry, industrial, bio or life-sciences experiments. The reader is introduced to the main concepts and vocabulary of the subject and to the main statistical methods available for formalizing, estimating and performing statistical inference on these models. Mathematical notations are not avoided but kept accessible, methods are illustrated on several detailed applications and the use of appropriate computer software is discussed.
Affiliations

Citations

Govaerts, B., Francq, B. G., Marion, R., Martin, M., & Thiel, M. (2020). The essentials on linear regression, ANOVA, general linear and linear mixed models for the chemist (Discussion Paper 2020/12). https://hdl.handle.net/2078.5/171026