Focusing on stationary time series models and continuous time stationary stochastic processes, this volume offers a thorough mathematical introduction. It explores both time and frequency domain analyses, starting with practical insights into stationarity and methods for achieving stationary data. The book covers key topics such as autoregressive and moving average time series, supported by numerous examples to enhance understanding.
