Cross Validated Asked on November 2, 2021
I have time-series data. It includes a number of patients with series conditions due to car crashes. After I remove the trend, I found that some number of patients becomes negatives which is impossible. What is the problem? What is my mistake? I remove the trend because I do not want to model it as a covariate. Why? because, I read that if I do not want to model the trend as a covariate, then I can remove it. What I should do to remove the negative values?
Should I remove the trend of this data? If so,
how can I avoid negative values when removing the trend?
Certain time series methods, like ESM deal fine with trends. Others, like ARIMA don't. So in some cases the method requires you to remove it and sometimes not. I think you should focus more on why you would want to remove it or not assuming your method allows you to have it. Sometimes you want to separate out seasonality, trends etc so you can see them.
Answered by user54285 on November 2, 2021
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