Timeline for Books for self-studying time series analysis?
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Jan 23, 2023 at 4:54 | history | edited | User1865345 | CC BY-SA 4.0 |
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| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
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| Jun 19, 2015 at 16:14 | history | post merged (destination) | |||
| Jun 19, 2015 at 16:13 | history | made wiki | Post Made Community Wiki by whuber♦ | ||
| Jun 19, 2015 at 16:00 | comment | added | IrishStat | As long as you check to see if the residuals from the proposed model are free of structure otherwise the model may be insufficient as that structure should/can be transferred to the model . Even better training sets can be found in the AUTOBOX demo from 10 plus textbooks. Can't beat the price as it costs nothing , You should like it.. | |
| Jun 19, 2015 at 15:56 | comment | added | Zach | @IrishStat Every dataset in FPP is non-simulated. Seems like great data to learn on... | |
| Jun 19, 2015 at 14:30 | comment | added | IrishStat | Free purchase is one thing BUT if it contains trivial/uncomplicated/insufficient procedures to deal with non-simulated data you may have to subsequently/ultimately pay a price. | |
| Jun 18, 2015 at 14:36 | comment | added | Zach | @TomReilly Whatever the issues with any particular model, I'd still recommend the R language in general and the forecast package in particular to anyone looking to learn time series analysis. You really can't beat free, especially if your goal is education. | |
| Jun 18, 2015 at 13:48 | comment | added | Tom Reilly | Zach, You might find this interesting. bit.ly/1Be6y4c | |
| Jun 17, 2015 at 14:03 | history | answered | Zach | CC BY-SA 3.0 |