how well the modeled data fit to the observed data?

2 visualizzazioni (ultimi 30 giorni)
Hi,
i am working on timeseries data set. i have gone through many video lectures for the timeseries analysis. all of them talk about decomposing the Time series data.
then modeling it for future predictions.
i have another scene for my thesis project. i have observed data and the simulated/ modeled data already.
both Time series are hourly stamped to show the water levels of a sea. i need to check how well the modeled data fit to the observed data?
i have been stuck in this issue since many weeks. please can anyone guide me a bit , what should i start with?
i have daily hourly data for 46 years. i have decomposed both timeseries into monthly TS, and yearly TS.
i have converted my data into timetables. the data is attached as a mat file .
Best Regards.
Mrs.Raza
  3 Commenti
bushra raza
bushra raza il 11 Apr 2020
Hi,
thanx alot for your reply Sir.
yes, i did not adjust the offsets of the data yet. how can i do this? they are original data sets as i recieved.
i had calculated RMSE, and Nash Sutcliff as well,
i am attaching the main.m file, it is using some of my other functions to find the RMSE and Nashsutcliff.
the results are like :
>> main
RMSE=
497.2241
NSE=
-438.9240
i am not finding a way to interpret it.
Basically, i need to transform the simulated data in a way that it represents the variability and mean of the observation.
like for example,i need to fix the 95% variability and the mean of simulated data to observed data.
and ultimately, i need to represent how well the modeled data fit to the observed data?
but how to do it and how can i interpret the result? please guide me.
Regards,
Mrs.Raza
bushra raza
bushra raza il 11 Apr 2020
Hi, just use 'detrend' for the observed data set. then by using 'distribution fitter' , the following density fit is plotted.
please guide me, how to interpret it? and like 95% variabilty of simulated data to observed data

Accedi per commentare.

Risposte (0)

Categorie

Scopri di più su Conditional Mean Models in Help Center e File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by