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Chapter 13 summary added, html updated #46
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### A Pluto.jl notebook ### | ||
# v0.12.20 | ||
# v0.12.21 | ||
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using Markdown | ||
using InteractiveUtils | ||
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As a final summary, when dealing with a time series it is very important to be able to define if it has any latent variables such as trend or seasonality. Once we can find that underlying information, we will be able to generate forecasts with confidence. We just need to look deeper. | ||
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### Bibliography | ||
### Summary | ||
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In this chapter we have learned the basic foundations of time series analysis. | ||
We have defined what a time series is and delve into a particular method: The exponential smoothing. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. attention to detail: "delve" should be in the past tense. |
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After building up an intuition of how the simple exponential smoothing works, we continued to introduce more complex versions of the method as the various problems we set ourselves required it. | ||
The simple, trended and seasonality methods were presented and coded, generating in that way a much greater understanding of how they work. | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. The last two sentences don't seem to include a lot of information, remember to refresh concepts instead of just narrate what happened |
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### References | ||
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- [Forecasting: Principles and Practice, Chap 7](https://otexts.com/fpp2/expsmooth.html) | ||
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Remember the comma after the introductory clause (I've marked this issue in several PRs):
For more information check out https://owl.purdue.edu/owl/general_writing/punctuation/commas/commas_after_introductions.html