Forecasting: Principles and Practice

[This article was first published on Econometrics Beat: Dave Giles' Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Forecasting: Principles and Practice is the title of a new book by Rob Hyndman and George Athanasopoulos.

As Rob says on his webpage:

“The book is dif­fer­ent from other fore­cast­ing text­books in sev­eral ways.
  • It is free and online, mak­ing it acces­si­ble to a wide audience.
  • It is based around the fore­cast pack­age for R.
  • It is con­tin­u­ously updated. You don’t have to wait until the next edi­tion for errors to be removed or new meth­ods to be dis­cussed. We will update the book frequently.
  • There are dozens of real data exam­ples taken from our own con­sult­ing prac­tice. We have worked with hun­dreds of busi­nesses and orga­ni­za­tions help­ing them with fore­cast­ing issues, and this expe­ri­ence has con­tributed directly to many of the exam­ples given here, as well as guid­ing our gen­eral phi­los­o­phy of forecasting.
  • We empha­sise graph­i­cal meth­ods more than most fore­cast­ers. We use graphs to explore the data, analyse the valid­ity of the mod­els fit­ted and present the fore­cast­ing results.”
This looks really good!

    © 2012, David E. Giles

    To leave a comment for the author, please follow the link and comment on their blog: Econometrics Beat: Dave Giles' Blog.

    R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
    Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

    Never miss an update!
    Subscribe to R-bloggers to receive
    e-mails with the latest R posts.
    (You will not see this message again.)

    Click here to close (This popup will not appear again)