Data fitting using GLM model
6 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Jana Ulmanová
el 4 de En. de 2022
Respondida: John D'Errico
el 4 de En. de 2022
Hello,
I need to fit data with this dependece r(H10,T,P,t)=a0(H10)+a1*t+a2*t^2+ a3*T+a4*P+a5 and I would like to use GLM.
I am struggling with the very beginning. Could you possible give me a hint how to fit data with 4 different dependencies and obtaint a1..a5 ?
Thank you.
1 comentario
John D'Errico
el 4 de En. de 2022
Is A0 a FUNCTION of H10? Or have you forgotten to put a * in there to denote multiplication. Is there a way that we should know this by looking at your question? (NO.)
Respuesta aceptada
John D'Errico
el 4 de En. de 2022
Trivial.
Well, trivil, If we assume that A0(H10) was actually intended as A0*H10.
r(H10,T,P,t)=a0*H10 + a1*t + a2*t^2 + a3*T + a4*P + a5
First, set up a matrix. Assuming you have variables, as COLUMN vectors, for the variables: H10, T, P, t and r.
n = numel(H10);
M = [H10,t,t.*t,T,P,ones(n,1)];
a012345 = M\r;
The vector a012345 will contain the coeffiicients you wish to find.
You could also use tools from the stats toolboix, such as regress, etc.
0 comentarios
Más respuestas (0)
Ver también
Categorías
Más información sobre Descriptive Statistics en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!