Browsing Faculty of Chemistry, Biotechnology and Food Science (KBM) by Subject "Regression"
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Estimation of noise variance with dimension-reducing regression methods
(Master thesis, 2018)The focus of this thesis has been on investigating the performance of some estimators of the noise variance using the dimension-reducing methods PCR, PLSR and a recently developed Bayesian method, Bayes PLS, through a ... -
Exploration of multi-response multivariate methods
(PhD Thesis;2019:76, Doctoral thesis, 2019)A linear regression model defines a linear relationship between two or more random variables. The random variables that depend on other random variables are often called response variables and the independent random variables ...