How can I get verification code for matlab online?

Respuestas (3)

betaHat0 = M0.Coefficients.Estimate;
yHat0 = [1,X2005]*betaHat0;
D = dates(end);
Xm = min([X0(:);X2005']);
XM = max([X0(:);X2005']);
Ym = min([y0;yHat0]);
YM = max([y0;yHat0]);
% Estimate a VAR(1) model for the differenced predictors (with
% undifferenced |AGE|):
numLags = 1;
D1X0PreSample = D1X0(1:numLags,:);
D1X0Sample = D1X0(numLags+1:end,:);
numPreds0 = numParams0-1;
VARSpec = vgxvarx(vgxset('n',numPreds0,'Constant',true,'nAR',numLags),...
D1X0Sample,[],D1X0PreSample);
% Forecast the predictors in D1X0:
horizon = 1;
ForecastD1X0 = vgxpred(VARSpec,horizon,[],D1X0);
% Integrate the differenced forecast to obtain the undifferenced forecast:
ForecastX0(1) = ForecastD1X0(1); % AGE
ForecastX0(2:4) = X0(end,2:4)+ForecastD1X0(2:4); % Other predictors
Xm = min([X0(:);ForecastX0(:)]);
XM = max([X0(:);ForecastX0(:)]);
% Forecast the response from the regression model:
ForecastY0 = [1,ForecastX0]*betaHat0;
Ym = min([y0;ForecastY0]);
YM = max([y0;ForecastY0]);
Box_Jenkins = ForecastY0;

4 comentarios

Can someone please run this for me? And show the output.
On R2018b
Undefined variable "M0" or class "M0.Coefficients.Estimate".
Error in cssm (line 2)
betaHat0 = M0.Coefficients.Estimate;
Thank you very much
Hi. How do I fix the problem? Thanks

Iniciar sesión para comentar.

Categorías

Más información sobre Linear and Nonlinear Regression en Centro de ayuda y File Exchange.

Etiquetas

Preguntada:

el 17 de Nov. de 2016

Comentada:

el 7 de Abr. de 2021

Community Treasure Hunt

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

Start Hunting!

Translated by