Consider a monthly time series dataset for which we, Applied Statistics

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Consider a monthly time series dataset for which we

Consider a monthly time series dataset for which we believe that the model Xt = (at + b)st + Zt is appropriate where st is a seasonal function i.e., st+d = st and Zt is white noise. What would be a way to difference the data in order to eliminate both trend and seasonality and why does it work?

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Applied Statistics: Consider a monthly time series dataset for which we

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Applied Statistics: Consider a monthly time series dataset for which we

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