104年第1學期-1765 時間序列 課程資訊
本課程名額為 70人，已有87 人選讀，尚餘名額-17人。
A time series is a sequence of observations that are arranged according to the time of their outcome. Many recent applications of time series receive much of attention in financial areas. However, time series analysis has also exhibited its importance across many scientific areas for a long history and the desire of such analysis is still going on. This course is to provide introductory lessons in time series for the third and fourth year of undergraduates, who have major interests in statistics, and have finished some elementary courses, such as statistics, calculus, linear algebra and regression. The courses will be in three parts. The first part will be on the focus of regression, including a quick overall review of basics and an extension of regression modeling particularly required for time series data. The second part is aimed at the ARIMA models and seasonal models, which are traditional treatments established by Box and Jenkins. The third part is to introduce some new advances in time series or more real applications of time series models. Served as an undergraduate course, the topics will not be expected to go in great depth but to learn basic approach and to prepare background for further advanced studies.
Office HourOffice: M436 Office Hours: Mondays Session 3 Tuesdays Session 3 Wednesdays Session 7, 8
Introduction to Time Series and Forecasting (Springer Texts in Statistics) Hardcover – April 29, 2010
by Peter J. Brockwell (Author), Richard A. Davis (Author)