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Modern Time Series Analysis with R. Practical forecasting and impact estimation with tidy, reproducible workflows Dr. Yeasmin Khandakar, Dr. Roman Ahmed, Rob J Hyndman

(ebook) (audiobook) (audiobook) Język publikacji: angielski
Modern Time Series Analysis with R. Practical forecasting and impact estimation with tidy, reproducible workflows Dr. Yeasmin Khandakar, Dr. Roman Ahmed, Rob J Hyndman - okladka książki

Modern Time Series Analysis with R. Practical forecasting and impact estimation with tidy, reproducible workflows Dr. Yeasmin Khandakar, Dr. Roman Ahmed, Rob J Hyndman - okladka książki

Modern Time Series Analysis with R. Practical forecasting and impact estimation with tidy, reproducible workflows Dr. Yeasmin Khandakar, Dr. Roman Ahmed, Rob J Hyndman - audiobook MP3

Modern Time Series Analysis with R. Practical forecasting and impact estimation with tidy, reproducible workflows Dr. Yeasmin Khandakar, Dr. Roman Ahmed, Rob J Hyndman - audiobook CD

Autorzy:
Dr. Yeasmin Khandakar, Dr. Roman Ahmed, Rob J Hyndman
Ocena:
Stron:
628
Modern Time Series Analysis with R is a comprehensive, hands-on guide to mastering the art of time series analysis using the R programming language. Written by leading experts in applied statistics and econometrics, this book helps data scientists, analysts, and developers bridge the gap between traditional statistical theory and practical business applications.
Starting with the foundations of R and tidyverse, you’ll explore the core components of time series data, data wrangling, and visualization techniques. The chapters then guide you through key modeling approaches, ranging from classical methods like ARIMA and exponential smoothing to advanced computational techniques, such as machine learning, deep learning, and ensemble forecasting.
Beyond forecasting, you’ll discover how time series can be applied to causal inference, anomaly detection, change point analysis, and multiple time series modeling. Practical examples and reproducible code will empower you to assess business problems, choose optimal solutions, and communicate results effectively through dynamic R-based reporting.
By the end of this book, you’ll be confident in applying modern time series methods to real-world data, delivering actionable insights for strategic decision-making in business, finance, technology, and beyond.

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Packt Publishing - inne książki

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