Catalogue Description: Introduction to a core set of statistical methods that have proven useful to modern climate and predictability research. Topics include hypothesis testing, autoregression models, analysis of variance, statistical forecasting, linear regression, cross validation, principal component analysis.
| 08/27/2016 | Probability Concepts | Homework | Solutions |
| 09/03/2016 | Hypothesis Tests | Homework | Solutions |
| 09/10/2016 | Confidence Intervals | Homework | Solutions |
| 09/17/2016 | No Class (shifted from Labor Day) | - | - |
| 09/24/2016 | Hypothesis Testing Based on Ranks | Homework | Solutions |
| 10/01/2016 | Stochastic Processes | Homework | Solutions |
| 10/09/2016* | Power Spectra | Homework | Solutions |
| 10/15/2016 | Multivariate Concepts | Homework | Solutions |
| 10/22/2016 | Linear Regression: Estimation | Homework | Solutions |
| 10/29/2016 | Linear Regression: Inference | Homework | Solutions |
| 11/05/2016 | Principal Component Analysis | Homework | Solutions |
| 11/12/2016 | Model Selection | - | - |
| 11/19/2016 | FINAL EXAM; Project Description Due | - | - |
| 11/26/2016 | Review of Final Exam (1-2:30pm) | - | - |
| 12/03/2016 | Pitfalls of Statistical Inference | - | - |
| 12/17/2016 | Class Presentations | - | - |