- Is the model producing data "like" the real data?
- If not, how should the simulation model be changed?
how to measure Model performance in a uni-variate time series data?
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Hi,
i have univariate time series data sets of water levels named as: observed data and simulated data .
i want to transform the simulated data in a way that it represents the variability and mean of the observation.
i.e. need to fix simulated data as may be like 95% variability and the mean of the obsrvation.
Or even better, how can i apply a transfer function that would transform the simulation into the observation?
i have joined them in a timetable. the data is attached as a mat file . first column is timestamp, second is observed data, and third column is simulated data.
please guide me how can i present the simulated /model performance?
what other measures should i consider for this ?
i have calculated RMSE,and nasch sutcliffe efficiency coefficient as well,(files of codes are attached). but its hard to interpret the results.
i need some guidance on this too.
looking forward for your guidance.
2 commentaires
Peter Perkins
le 14 Avr 2020
This doesn't seem like a MATLAB question. If you have simulated data, they must have come from a simulation model. It aseems like your questions ought to be
Looking at the simulated data for the second question seems like you are too late.
I don't think anyone will be able to help with this question as posed, because only you know the details of your data and your model.
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