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Forecasting: principles and practice

4.44  ·  Rating details ·  79 ratings  ·  10 reviews
Paperback, 382 pages
Published May 6th 2018 by OTexts
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Bernhard Geiger
Mar 14, 2019 rated it liked it
This is exactly the type of book that I would recommend to junior data scientists starting with time series analysis. The book introduces a series of quantitative and qualitative methods for time series forecasting, both with intuitive explanations and numerical examples (carried out in R and accompanied by the corresponding code snippets). To keep the material accessible, most of the mathematical details are omitted.

I still decided to reward the book with only three stars for two reasons: First
Mar 21, 2020 rated it it was amazing
Shelves: data-science
The book is great in covering many themes in the time-series analysis (not just the basic ones) and to provide a mathematical basis for all the mentioned solutions. There were moments when most of the thoughts were provided in code so I probably needed more depth in explaining it in mathematical language but it didn't spoil the impression of the book. It's not an easy read and requires a lot of focus to understand thoughts set out in the book, missing one subchapter may cause an overall misunder ...more
Mel Hanna
Mar 26, 2021 rated it really liked it
Good introduction to different aspects of forecasting with concrete examples in R. There's just enough material here to teach you the right vocabulary and help you decide if you need to deep dive into the topic elsewhere. I do wish there was more explicit discussion of the pros and cons of each approach or when one might be better than another but Chapter 12 on practical considerations was really helpful. ...more
Jun 14, 2021 rated it it was amazing
Great book to get some intuitive concise explanations on forecasting. It comes with R codes.
Shelly (YI-Hsuan) LIN
Excellent introduction of how to implement time series analysis
Ankit Tyagi
Jul 15, 2019 rated it it was amazing
A very good introduction to time series with many r codes. Some advance topics are also included but are not that useful. But for the classical forecasting methods this is a good start.
Krishna Sangeeth
Aug 03, 2022 rated it it was amazing
Shelves: ml
The definitive book for anyone trying to start learning about Forecasting. Found the book to be a good mix of theory and practical ideas. Read the online version of the book.
Jun 15, 2021 rated it it was amazing  ·  review of another edition
Many approaches. Misses more math and basics, but helps familiarize with the topic fast.
Pronam Chatterjee
The most comprehensive and lucid book on the art of forecasting with examples in R. Awesome treatment to a fairly complex subject.
Michael Boerman
Apr 09, 2020 rated it it was amazing
hyndman is a LiTeRaL lEgEnD <333333333
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Professor of Statistics, Monash University, Australia

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