This book provides a comprehensive introduction to the theory and practice of time series analysis. It covers fundamental techniques and models used for analyzing data collected over time, including ARIMA models, forecasting methods, spectral analysis, linear systems, state-space models, and the Kalman filter. It is designed as an accessible textbook for undergraduate and postgraduate students,…