What is the difference between several features, which apparantely related to seasonality?

[michael135]

What is the difference between following features?

• seasonal_strength
• seasonal_strength1
• seasonal_strength2
• seas_acf1
• seas_pacf1

And in particular if seasonal_strength = 1 is it possible, that seas_acf1=0?

I looked through tsgeneration paper, but I didn't find. Please let me know if I miss something.

[ykang]

seasonal_strength1 and seasonal_strength2 are for multi-seasonal time series, representing seasonal_strength for the 1st and 2nd seasonal component.

[michael135]

If I choose just seasonal_strength, it means, that there will be just 1 kind of seasonality?

[ykang]

Yes.

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If I choose just seasonal_strength, it means, that there will be just 1 kind of seasonality?

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[michael135]

Does it makes sence if I choose:

• seasonal_strength = 1 (maximum)

When:

• seas_acf1 = 0
• seas_pacf1 = 0

Isn't it some kind of contradiction?

[feng-li]

I don't think that is a realistic setting reflecting the real world.

[michael135]

Just to assure that we are on the same page, in order to create "realistic" seasonal time series.

There should be:

• seasonal_strength > 0
• seas_acf1 > 0
• seas_pacf1 > 0

Or some additional features also should be greater than 0 ?

[feng-li]

I think you just need to set seasonal_strength > 0 and leave seas_acf1 and seas_pacf1 as 0 (in the Shiny app, 0 really means unrestricted), unless you have some specific interest (target) of acf and pacf.

[michael135]

thank you @feng-li, it's very helpful information. Without GUI, the logic is the same? If I don't specify "some feature" it's not necessary 0?