Textbook:

Part 1: Foundations of Forecasting

1. Planning and Forecasting
2. Statistical Fundamentals for Forecasting
3. Simple Linear Regression Model

Part 2:Univariate Methods

1. Simple Moving Average Methods
2. Simple Smoothing Methods
3. Decomposition Methods and Seasonal Indexes
4. Trend-Seasonal and Holt-Winters Smoothing

Part 3:Univariate ARIMA Methods

1. ARIMA Models: Introduction

Univariate ARIMA Applications
2. Seasonal ARIMA models

Part 4:Multivariate / Causal Methods

1. Multiple Regression of Time Series
2. Simultaneous Equation Analysis
3. Two-Stage Least Squares (2SLS) Method
4. Granger Causality
5. Vector Autoregressive Model
6. And More........

This is a simple step-by-step solution demonstration supplementary to the textbook Forecasting Principles and Applications by Stephen A. DeLurgio, 1998 McGraw-Hill. You can follow the steps and then solve the problem in each selected exercise on the left hand side. Since this site is still a trial version. Any error or suggestion, please feel free to let me know and I will correct it as soon as possible, thank you.