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Chapter 13 summary added, html updated #46

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Chapter 13 summary added, html updated
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12 changes: 10 additions & 2 deletions 13_time_series/13_time_series.jl
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### A Pluto.jl notebook ###
# v0.12.20
# v0.12.21

using Markdown
using InteractiveUtils
Expand Down Expand Up @@ -795,7 +795,15 @@ md"Well, good! We started this chapter not knowing how to tackle time series for

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.

### Bibliography
### Summary

In this chapter, we have learned the basic foundations of time series analysis.
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we learned

We have defined what a time series is and delved into a particular method, the exponential smoothing, that allows us to take into account the most distant values of our data.
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we defined

Finally, we explained more complex versions of the method and used them to make predictions in different kinds of scenarios.
When the processes followed a marked tendency, we used the trend method and the damped trend method to make long term predictions.
When the process was highly correlated with the seasonality of the year, like the quantity of air passengers in Australia, we utilized the Holt-Winters’ seasonal method.
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, like the quantity of air passengers in Australia,

delete this part since it's too specific

When the process exhibited seasonal trends, we utilized the Holt-Winters’ seasonal method.


### References

- [Forecasting: Principles and Practice, Chap 7](https://otexts.com/fpp2/expsmooth.html)

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