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Why does differencing of time series not help to make it stationary in SARIMA model?

I have problem with getting a stationary time series in SARIMA model after differencing.
I am a beginner in time series analysis but I read that time series Y_t = nabla^d (1-L^s)^D X_t should be a stationary time series. However after differencing with value s=12 and different values of d and D my time series doesn’t seem to be stationary analysing ACF function. I also tried BoxCox transformation with lambda=0 at the beginning but it also did not help.

Why does differencing of time series not help to make it stationary in SARIMA model?

I have problem with getting a stationary time series in SARIMA model after differencing.
I am a beginner in time series analysis but I read that time series Y_t = nabla^d (1-L^s)^D X_t should be a stationary time series. However after differencing with value s=12 and different values of d and D my time series doesn’t seem to be stationary analysing ACF function. I also tried BoxCox transformation with lambda=0 at the beginning but it also did not help.

Why does differencing of time series not help to make it stationary in SARIMA model?

I have problem with getting a stationary time series in SARIMA model after differencing.
I am a beginner in time series analysis but I read that time series Y_t = nabla^d (1-L^s)^D X_t should be a stationary time series. However after differencing with value s=12 and different values of d and D my time series doesn’t seem to be stationary analysing ACF function. I also tried BoxCox transformation with lambda=0 at the beginning but it also did not help.