Topics

1. Review basic theorems and concepts
2. Simple Linear Regression - R code SLR
3. Muiltiple Linear Regression - R code MLR
4. MLR diagnostics - R code Diagnostic

Data

• Upper Flat Creek inventory - Oregon State University
• Surgical example from Chapter 9 - Applied linear statistical models

Textbook and Papers

1. Kutner, M.H., C.J. Nachtsheim, J. Neter, and William Li. 2005. Applied Linear Statistical Models. 5th Edition. McGraw-Hill/Irwin, Boston. ISBN 0-07-238688-6.
2. Weiskittel, A.R., D.W. Hann, J.A. Kershaw, Jr., J.K. Vanclay. 2011. Forest growth and yield modeling. Wiley-Blackwell, Oxford, 415p
3. Pretzsch, H. Forest Dynamics, Growth and Yield, Springer, SBN 978-3-540-88307-4
4. Burkhart, H and Tome , M. Modeling Forest Trees and Stands. Springer, ISBN 978-90-481-3170-9
5. Process versus empirical models (Korzukhin et al. 1996)
6. The Epic Story of Maximum Likelihood (Stigler 2007)