Description
Many advanced books on time series data analysis are too complicated and exhausting for the students. But this book gives simple and quick explanations about complicated topics on time series data analysis.
This book covers topics and examples on
- Time Series Patterns
- Decomposition models
- Data Smoothing Methods
- Stationary time series
- Advanced Concepts used in Time Series Data Analysis
- Residual Tests
- AR, MA and ARIMA models
- ARCH/GARCH Models
- Vector Auto-regressive Models
- Vector Error Correction Models
- ARDL model
