Regression Linear Models in Statistics /

• Main Authors: Bingham, N. H. (Author), Fry, John M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2010.
• Series: Springer Undergraduate Mathematics Series,
• Subjects: Mathematics.; Applied mathematics.; Engineering mathematics.; Statistics.; Applications of Mathematics.; Statistical Theory and Methods.

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 essent...

Table of Contents:

• 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.