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    Introduction to Time Series Analysis (Easy Statistics)

    Posted By: naag
    Introduction to Time Series Analysis (Easy Statistics)

    Introduction to Time Series Analysis (Easy Statistics)
    English | 2021 | ASIN: B09M7KTP53 | 450 Pages | Epub | 1.62 MB

    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.