Different types of seasonality in time series modelling

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Can someone tell me the different types of seasonality in time series modeling?
Aug 9, 2018 in Data Analytics by CodingByHeart77
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1 answer to this question.

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Seasonality in time series occurs when the time series shows a repeated pattern over time. E.g., stationery sales decreases during the holiday season, air conditioner sales increases during the summers etc. are few examples of seasonality in a time series.

Seasonality makes your time series non-stationary because of the average value of the variables at different time periods. Differentiating a time series is generally known as the best method of removing seasonality from a time series. Seasonal differencing can be defined as a numerical difference between a particular value and a value with a periodic lag (i.e. 12, if monthly seasonality is present)
answered Aug 9, 2018 by DataKing99
• 8,240 points

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