Chapter 1
Time Series
Introduction to Forecasting
The nature and uses of forecasts, some examples of time series and resources for forecasting. Introduction, graphical displays, use data transformations for trend time series.
Chapter 2
Regression Analysis
Trend Models
Introduction, least square estimation, statistical inference in linear trend and non-linear trend models.
Chapter 3
Model Diagnostic Checking
Model Adequacy Checking
Interpretation of the model, discussion about adequecy checking of trend models.
Chapter 4
Exponential Smoothing
Smoothing Models
Introduction, simple exponential smoothing, double exponential smoothing and seasonal exponential smoothing.
Chapter 5
ARIMA Model
ARIMA models
Introduction, autoregressive model, moving average model and autoregressive integrated moving average models.
Chapter 6
Identification of ARIMA Models
Identification of ARIMA Models
Introduction,stationary, identify the ARIMA models and diagnostic checking for ARIMA models.
Chapter 7
Seasonal of ARIMA Models
Seasonal of ARIMA models
Introduction, model identification and diagnostic checking.