Modeling and forecasting of time series: implementation of the Box-Jenkins approach in the GRETL package

Modeling and forecasting of time series: implementation of the Box-Jenkins approach in the GRETL package

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LF/699556871/R
Russian
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The book “Modeling and forecasting time series: the implementation of the Box-Jenkins approach in the GRETL package” by Sedov is a unique publication that opens up the world of data analysis and statistical modeling to readers. With the rapid growth of information and the need to make informed decisions based on data This book becomes an indispensable tool for students , Post-graduate students , researchers and practitioners in the field of economics, Sociology , Finance and other disciplines , where it is important to work with time series. Sedov immerses the reader in the foundations of time series theory, offering an accessible and understandable explanation of the methods developed within the framework of the Box-Jenkins approach. This method, known for its efficiency in forecasting, allows you to analyze and model temporary data, revealing hidden patterns in them. The reader will be able to master key concepts such as stationary, autocorrelation and integrated models, and will also learn how to apply them in practice with the GRETL package - a powerful tool for statistical analysis. The book will be an excellent choice for undergraduate and graduate students studying econometrics and statistics, as well as for professionals working in the field of data analysis and forecasting. It will be interesting for those who want to deepen their knowledge in the field of modeling and learn how to apply the theory in practice. If you are looking for books on econometrics, statistics or data analysis, this edition will be an important addition to your library. The topics raised in the book cover a wide range of issues related to time series analysis. Sedov not only explains the theoretical foundations, but also demonstrates how to apply this knowledge to solve real problems. The reader will learn how to correctly select models, diagnose and evaluate the quality of forecasts, as well as how to interpret the results. These skills are crucial in today's world, where data is becoming the basis for decision-making in business, science, and public policy. The author's style is distinguished by clarity and accessibility, which allows even beginners in the field of statistics to easily absorb material. Sedov uses many examples and practical tasks, which makes learning more exciting and interactive. In addition, the book includes step-by-step instructions for working in GRETL, which allows readers not only to theoretically master the material, but also to immediately apply it in practice. If you are already familiar with Sedov’s other works or are looking for literature on topics related to data analysis and econometrics, this publication will be a real find for you. The book “Modeling and forecasting time series” will not only expand your knowledge, but also equip you with practical skills that will be useful in your professional activities. In conclusion, “Modeling and forecasting of time series: the implementation of the Box-Jenkins approach in the GRETL package” is not just a textbook, but a full-fledged guide to the world of time series. It inspires the study and application of data analysis techniques, opening up new horizons for anyone seeking professional growth in this dynamic field. Do not miss the opportunity to deepen your knowledge and skills by immersing yourself in this fascinating and useful book!
LF/699556871/R

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Name of the Author
Седова
Language
Russian

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Modeling and forecasting of time series: implementation of the Box-Jenkins approach in the GRETL package

The book “Modeling and forecasting time series: the implementation of the Box-Jenkins approach in the GRETL package” by Sedov is a unique publication that opens...

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