To see the ‘Sheet book‘ and ‘Table of associated records‘ go the bottom, Pag. 2Pag. 3. ( 👩‍🎓 🖥 For free online version, on the image).


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A review of the book for research, educational and recommendations.


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Recommendation numbered Nº: 13022020p1


🔘 Book page

-Creative Commons address:: otexts.com/fpp2
-Paid version address: amzn.to/3adS5aW

📌 For your review and personal analysis, copy and paste the address of the book page in your browser. The educational and research community will also thank you for evaluating this information (above) and for making rational and timely personal comments. Using appropriate language at all times. Special attention must be paid to the technical, ethical and labor implications of Artificial Intelligence (AI). It will affect us all. And it is everyone’s responsibility.


Summary

Provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.

A comprehensive introduction to the latest forecasting methods. Examples use R with many data sets taken from the authors’ own consulting experience. In this second edition, all chapters have been updated to cover the latest research, and three new chapters have been added on dynamic regression forecasting, hierarchical forecasting and practical forecasting issues.

(By Rob J Hyndman and George Athanasopoulos). (Monash University, Australia)

The book is written for three audiences

  • People finding themselves doing forecasting in business when they may not have had any formal training in the area.
  • Undergraduate students studying business.
  • MBA students doing a forecasting elective. We use it ourselves for a third-year subject for students undertaking a Bachelor of Commerce or a Bachelor of Business degree at Monash University, Australia.

Authors

(Unofficial biography. For informational purposes only).

Rob J Hyndman

Is Professor of Statistics and Head of the Department of Econometrics & Business Statistics at Monash University, Australia. He was Editor-in-Chief of the International Journal of Forecasting from 2005–2018, and is author of over 150 research papers in statistical science. In 2007, he received the Moran medal from the Australian Academy of Science for his contributions to statistical research. For over 30 years, Rob has maintained an active consulting practice, assisting hundreds of companies and organisations on forecasting problems. He is on the Editorial Boards of the International Journal of Forecasting and the Journal of Statistical Software. (Book website).

George Athana­sopou­los

Professor and Deputy Head of the Department of Econometrics and Business Statistics at Monash University, Australia. He received a PhD in Econometrics from Monash University in 2007, and has received many awards and distinctions for his research. His research interests include multivariate time series analysis, forecasting, non-linear time series, wealth and tourism economics. He is on the Editorial Boards of the Journal of Travel Research and the International Journal of Forecasting. (Book website).


🔘 Book page

-Creative Commons address:: otexts.com/fpp2
-Paid version address: amzn.to/3adS5aW

 📌 For your review and personal analysis, copy and paste the address of the book page in your browser. The educational and research community will also thank you for evaluating this information (above) and for making rational and timely personal comments. Using appropriate language at all times. Special attention must be paid to the technical, ethical and labor implications of Artificial Intelligence (AI). It will affect us all. And it is everyone’s responsibility.


Please, thank the authors

Thank you very much for this work to @robjhyndman et al, via @States_AI_IA #forecasting #methods #free #ebook #ai #artificialintelligence #thebibleai #openscience #openaccess #thanks