Theory and Application of Regression and Analysis of Variance-I
The aim of this course is to provide an introduction to theory and application of regression and
analysis of variance. In particular, we will cover estimation and testing theory for least squares fits
under general, Gauss-Markov, and related assumptions; diagnostic tools; prediction and model selection
in linear regression; and generalized linear models. The lectures will mainly focus on the theory and provide
examples of applications. The homework assignments will provide the opportunity to implement many
of the methods on real data. See the syllabus for more information.
Linear algebra, Introductory Statistics and Probability.Reading list
All of the four books below are on reserve at Wendt library.Computing
As our main text book, we will use
We will use R, a freely available implementation of S language, as our computing environment.
Discussion sessions will include basic information on related R functions. Tutorials are available on the R website.
*Percentages might be subject to change.