Beschreibung:
Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential.
A self-contained, mathematical introduction to the development and theory of linear models aimed primarily at undergraduate students of mathematics.
Linear Regression.- The Analysis of Variance (ANOVA).- Multiple Regression.- Further Multilinear Regression.- Adding additional covariates and the Analysis of Covariance.- Linear Hypotheses.- Model Checking and Transformation of Data.- Generalised Linear Models.- Other topics.