A Study of Time Series Using Univariate Box-Jenkins Model

Abstract

This thesis looks at the Univariate Box-Jenkins Models for time series analysis. It introduces readers to the concepts of time series and this analytical model. Starting from underlying principles of time series, we cover the practice of ARIMA modeling, including a three-stage procedure: identification, estimation and forecasting.