course
REGRESSION ANALYSIS STAT 533
Topic REGRESSION ANALYSIS 533 Stat | No of Weeks |
Contacthours |
Introduction to Regression analysis – Assumptions underlying a simple linear Regression. Stufy of Residual plots | 2 | 6 |
Test of linearity of the model, ANOVA, Lack of Fit test |
2 | 6 |
Confidence interval of mean Response. Prediction interval of a new observation. Interval estimation of regression parameters Multiple Comparison tests. |
3 | 9 |
Regression Analysis using Matrix method. Multiple linear Regression. Second order regression. |
3 | 9 |
linear Regression with indicator variables, Piece-wise regression, Logistic Regression. |
3 | 9 |
Multicollinearity Problems in regression and some solutions – Ridge ression, Robust regression etc. Detecting outliers, VIF, Cook’s distance |
2 | 6 |
Required Text(s)
- Applied Linear Regression Models by John Neter, William Wasserman and Michael Kutner, Richard D. Irwin Inc. Illinois. {latest available ed.}
- Translation of the text book .KSU
- Applied Linear Regression Analysis by Norman Draper and Harry Smith, Wiley
- Theory and Application of the Linear Model by Franklin A. Graybill, Duxbury Press.