Many advanced books on time series data analysis are too complicated and exhausting for the students. But this book gives simple and quick explanation about complicated topics on time series data analysis.
This book covers information onTime 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
The examples are solved using manual calculations and E-views statistical software. This book can be used as a self-study material and a text book. It is suggested to have a prior knowledge on Regression Analysis before learning Time Series Analysis. Easy Statistics Series have a book on Regression Analysis as well. You can get a wide knowledge on Regression Analysis after reading "Introduction to Regression Analysis" written by me.
Any suggestions to further improve the contents of this edition would be warmly appreciated. For any further suggestions, please contact me at website :www.anushabooks.com
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