Day Content:
1 Overview of Forecasting Model
Overview of Basic Statistics Concepts
2 Overview of regression: Estimation and Hypothesis Testing
3 Overview of Multiple Regression: Estimation and Hypothesis Testing
Using Regression Model for Forecasting
4 Distributed Lag Models
5 Time Series Properties and Features
Exponential smoothing methods in Time Series
6 Exponential smoothing methods in Time Series (cont)
Trend Regression and Seasonal dummies
7 Introduction to AR and MA
AR and MA models, Properties
Regression Model with autoregressive error term
8 AR and MA Models, Properties
ARMA Model
9 ARIMA Model, Nonstationary, Unit root, Testing
10 ARIMA Model, Nonstationary, Unit root, Testing (cont)
Forecasting