Linear Models
Linear models are a class of statistical methods that allows you to investigate the relationship between two or more variables. Although there are many types of regression analysis, they all basically study the influence of one or more independent variables on the dependent variable.
Useful literature
- S. Weisberg. Applied linear regression. Wiley, 2005 (access via the HSE Library).
- D.J. Olive Linear Regression. Springer, 2017 (access via the HSE Library).
- J. Gross Linear Regression. Springer, 2012 (access via the HSE Library).
- Draper, Norman R., and Harry Smith. Applied Regression Analysis, John Wiley & Sons, Incorporated, 1998 (access via the HSE Library).
- Montgomery, Douglas C., et al. Introduction to Linear Regression Analysis, John Wiley & Sons, Incorporated, 2015 (access via the HSE Library).
- Yan, Xin. Linear Regression Analysis: Theory and Computing, World Scientific Publishing Co Pte Ltd, 2009 (access via the HSE Library).
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