White noise seasonality Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsHow to deal with time series which change in seasonality or other patterns?Predicting most likely application to be openedHow to “count” certain events in a time seriesDynamic Time Warping Linear Algebra and Pseudocode ExplanationDoes it make sense that datetime encodes one-hot-vector like one-hot-encoding or something else likeImproving LSTM Time-series PredictionsHow to approach Peak picking with a wide range of peak shapes, sizes, varying noise level, and occasionally shifting baseline?Are RNN or LSTM appropriate Neural Networks approaches for multivariate time-series regression?Multi-Step Forecast for Multivariate Time Series (LSTM) KerasFitting model to differenced time series
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White noise seasonality
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsHow to deal with time series which change in seasonality or other patterns?Predicting most likely application to be openedHow to “count” certain events in a time seriesDynamic Time Warping Linear Algebra and Pseudocode ExplanationDoes it make sense that datetime encodes one-hot-vector like one-hot-encoding or something else likeImproving LSTM Time-series PredictionsHow to approach Peak picking with a wide range of peak shapes, sizes, varying noise level, and occasionally shifting baseline?Are RNN or LSTM appropriate Neural Networks approaches for multivariate time-series regression?Multi-Step Forecast for Multivariate Time Series (LSTM) KerasFitting model to differenced time series
$begingroup$

Is the above graph a white noise?
I'm confused by the spikes at certain places.
The above plot has been obtained after doing a first order differencing on a time series. How can I justify whether there is seasonality present/absent in the data after differencing?
r time-series data-analysis
$endgroup$
add a comment |
$begingroup$

Is the above graph a white noise?
I'm confused by the spikes at certain places.
The above plot has been obtained after doing a first order differencing on a time series. How can I justify whether there is seasonality present/absent in the data after differencing?
r time-series data-analysis
$endgroup$
add a comment |
$begingroup$

Is the above graph a white noise?
I'm confused by the spikes at certain places.
The above plot has been obtained after doing a first order differencing on a time series. How can I justify whether there is seasonality present/absent in the data after differencing?
r time-series data-analysis
$endgroup$

Is the above graph a white noise?
I'm confused by the spikes at certain places.
The above plot has been obtained after doing a first order differencing on a time series. How can I justify whether there is seasonality present/absent in the data after differencing?
r time-series data-analysis
r time-series data-analysis
asked 2 hours ago
Jor_ElJor_El
312
312
add a comment |
add a comment |
1 Answer
1
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oldest
votes
$begingroup$
How can I justify whether there is seasonality present/absent in the
data after differencing?
Plot the amplitude of the Fourier transform of the signal.
If there is seasonality, you will see a peak at the appropriate frequency on the Fourier plot. This should be close to the plot's origin, because seasonality means slow changes and thus low frequencies.
$endgroup$
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
How can I justify whether there is seasonality present/absent in the
data after differencing?
Plot the amplitude of the Fourier transform of the signal.
If there is seasonality, you will see a peak at the appropriate frequency on the Fourier plot. This should be close to the plot's origin, because seasonality means slow changes and thus low frequencies.
$endgroup$
add a comment |
$begingroup$
How can I justify whether there is seasonality present/absent in the
data after differencing?
Plot the amplitude of the Fourier transform of the signal.
If there is seasonality, you will see a peak at the appropriate frequency on the Fourier plot. This should be close to the plot's origin, because seasonality means slow changes and thus low frequencies.
$endgroup$
add a comment |
$begingroup$
How can I justify whether there is seasonality present/absent in the
data after differencing?
Plot the amplitude of the Fourier transform of the signal.
If there is seasonality, you will see a peak at the appropriate frequency on the Fourier plot. This should be close to the plot's origin, because seasonality means slow changes and thus low frequencies.
$endgroup$
How can I justify whether there is seasonality present/absent in the
data after differencing?
Plot the amplitude of the Fourier transform of the signal.
If there is seasonality, you will see a peak at the appropriate frequency on the Fourier plot. This should be close to the plot's origin, because seasonality means slow changes and thus low frequencies.
answered 2 hours ago
pcko1pcko1
1,716418
1,716418
add a comment |
add a comment |
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