Regression Linear Models in Statistics /
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...
Main Authors: | , |
---|---|
Corporate Author: | |
Format: | Electronic |
Language: | English |
Published: |
London :
Springer London : Imprint: Springer,
2010.
|
Series: | Springer Undergraduate Mathematics Series,
|
Subjects: | |
Online Access: | https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84882-969-5 |
Table of Contents:
- Linear Regression
- The Analysis of Variance (ANOVA)
- Multiple Regression
- Further Multilinear Regression
- Analysis of Covariance
- Linear Hypotheses
- Model Checking and Transformation of Data
- Generalized linear models
- Solutions.