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I know normality assumption is not necessary for all of the ARIMA models. My question is that if we have a non-normal time series, is it better to transform it to normal state by transformations like Box-Cox and then use it in the model? what are the pros and cons of these transformation in ARIMA models?

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    $\begingroup$ How do you know that normality assumption is not necessary for all of the ARIMA models? Could you give a reference? $\endgroup$ Mar 24, 2015 at 17:05

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