Description
Book Synopsis: This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through multiple regression. Calculus is assumed only to the extent of minimizing sums of squares but a calculus-based introduction to statistics is necessary for a thorough understanding of some of the theory. Actual time series data drawn from various disciplines are used throughout the book to illustrate the methodology.
Details
Looking to improve your data analysis skills? Look no further than the Time Series Analysis: With Applications in R. Whether you're a statistics, economics, business, engineering, or quantitative social sciences student, this book is perfect for you. It offers a comprehensive introduction to time series analysis, integrating it with the powerful R computing environment.
One unique feature of this edition is its emphasis on practicality. Through the use of actual time series data from various disciplines, you'll get hands-on experience applying the methodology to real-world scenarios. This practical approach will allow you to grasp the concepts more easily and apply them to your own research or projects.
With a foundation in basic applied statistics and multiple regression, this book takes you through the essentials of time series analysis. You don't need an advanced mathematical background to benefit from this book, but a basic understanding of calculus is required to fully grasp some of the underlying theory.
If you're ready to take your data analysis skills to the next level and unlock the power of time series analysis, grab your copy of Time Series Analysis: With Applications in R today.
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