Training Module: Time Series Analysis and Forecasting
This time series analysis training module covers the use of STATGRAPHICS in analyzing time series data and for applying statistical forecasting methods.
Module length: 0.5 day
Outline:
Descriptive Methods
Time Sequence Plots
Subseries Plots
Autocorrelations and Partial Autocorrelations
Periodograms
Tests for Randomness
Cross-correlation Functions
Smoothing
Weighted Moving Averages
Nonlinear Resistant Smoothers
Combining More than One Smoother
Seasonal Decomposition
Time Series Models
Estimating the Components
Generating Seasonally Adjusted Data
Forecasting
Moving Averages
Trend Models
Exponential Smoothing
ARIMA Models
Selecting a Model For Statistical Forecasting Methods
