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Introduction to Time Series Analysis

✍ Scribed by Anusha Illukkumbura

Publisher
Independently published
Year
2021
Tongue
English
Leaves
194
Category
Library
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No coin nor oath required. For personal study only.

✦ Synopsis

Introduction to Time Series Data Analysis is the sixth book in Easy Statistics Series. Aim of the Easy Statistics Series is to simplify the complicated topics in Statistics.

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 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
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
email : [email protected]

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