Curve fitting: seversl curves to one
2 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Hi,
I have quite a special demand: I have a curve for number of housholds for the years of 1960-2020 and want to create a relationship of several economic and demographic curves/datapoints. I want to have the combination of those datasets (demographic ones) to fit to the number of households. Is there a sort of fitting tool integrated, combining the different datasets?
4 Commenti
Image Analyst
il 12 Apr 2020
Modificato: Image Analyst
il 12 Apr 2020
Make up some dummy data sets in tables, or separate variables, and upload them so we have something to work with. Make it easy for us to help you, not hard.
Also, there are probably lots of models that could be fit using those 4 vectors. Do you want the product like you suggested, or perhaps a weighted sum, or Principal Components Analysis, or LDA? Or has anyone ever come up with some sort of formula that we can use?
Risposte (2)
Rajani Mishra
il 16 Apr 2020
What I understand from your question and following comments is that you have dataset of Household, Population, GDP, Taxes, Mean Income and you want to find the values of a,b,c and d for the equation you have provided.
In that case you can make a combined data set having each data set as a column and use function nlinfit, you can read more about the function here.
refer to the similar question I came across:
0 Commenti
Tom Lane
il 23 Apr 2020
If you want
nhh = a * (n1^b) * (n2^c) * (n3^d)
consider taking logs
log(nhh) = log(a) + b*log(n1) + c*log(n2) + d*log(n3)
You can use any least squares feature in MATLAB, Statistics and Machine Learning Toolbox, or Optimization Toolbox. Pass in the log values as data. You'd get back estimates of log(a), b, c, and d.
0 Commenti
Vedere anche
Categorie
Scopri di più su Curve Fitting Toolbox 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!