Timeline for Books for self-studying time series analysis?
Current License: CC BY-SA 4.0
11 events
when toggle format | what | by | license | comment | |
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Apr 5, 2021 at 22:38 | history | edited | Alexis | CC BY-SA 4.0 |
added 147 characters in body
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Jun 5, 2020 at 12:43 | comment | added | Ceph | When commenting on the suitability or unsuitability of a book for "beginners", it would be helpful to say more about what sort of beginners we're talking about here. E.g. "beginner" could mean "new to time series analysis (but with ample math/stats background)" or it could mean "undergraduate with little or no math/stats coursework completed" -- two extremely different categories. | |
Apr 26, 2018 at 10:40 | comment | added | stucash | if we go by Amazon reviews, neither of these books proved friendly, if at all, to beginners, let alone self-learning beginners. | |
Oct 18, 2015 at 22:03 | comment | added | user1406647 | very good books, but maybe something more easy to undestood is also there? | |
Jun 19, 2015 at 19:28 | history | notice added | whuber♦ | Needs detailed answers | |
Mar 7, 2012 at 0:01 | comment | added | naught101 | Biostat, could you clarify WHY you would recommend those books, above others? | |
Jan 20, 2012 at 18:57 | vote | accept | CuriousMind | ||
Jan 20, 2012 at 18:57 | vote | accept | CuriousMind | ||
Jan 20, 2012 at 18:57 | |||||
Jan 4, 2012 at 8:04 | history | made wiki | Post Made Community Wiki by chl | ||
Jan 3, 2012 at 3:19 | comment | added | Macro | (+1) I've found the first book you listed there to be very useful. | |
Jan 3, 2012 at 2:02 | history | answered | Biostat | CC BY-SA 3.0 |