Im an assistant professor at West Chester University, a largeish state University outside of Philadelphia. We offer a masters degree in applied statistics. Course emphasis tends to be on statistical communication, model building, diagnostics, etc mostly using lots of actual hands on data and SAS (We use a little R). The textbook we use for our regression course is Applied Regression Analysis and other Multivariable Methods by Kleinbaum, Kupper, Nizam, and Muller to give an idea of the 'rigor' of our typical courses.
Im looking to teach a course in 'applied time series'. I did this once before and used Forecasting, Time Series and Regression by Bowerman, OConnell and Koehler. It touches on Decomposition Methods, Exponential Smoothing, and then spends considerable time discussing Box-Jenkins methodology.
In general I liked the book but it didnt seem to have enough content to fill an entire course. (Half the book is spent discussing multiple regression which is a prereq for the course). So I am looking for supplementary material (or possibly another book of comparable depth/difficulty and more material). Im going to try and peruse the Topics - Time Series discussion post over the next few weeks but any other suggestions would be greatly appreciated as time series is something that is relatively new to me as well.
Thanks for your time. This webpage and growing community is an incredible and much appreciated resource!