finding best value for ARIMA (p,d,q) model?
    4 views (last 30 days)
  
       Show older comments
    
    ANURAG DEEPAK
 on 30 Jan 2020
  
    
    
    
    
    Commented: Hamed Majidiyan
 on 7 Mar 2022
            function ar = checkarma(y,pp,dd,qq)
LOGL = zeros(pp+1,dd+1,qq+1);
PQ = zeros(pp+1,dd+1,qq+1);
for p = 1:pp+1
    for d = 1:dd+1
    for q = 1:qq+1
        mod = arima(p-1,d-1,q-1)
        [fit,~,logL] = estimate(mod,y,'print',false);
        LOGL(p,d,q) = logL;
        PQ(p,d,q) = p+d+q;
    end
    end
end
LOGL = reshape(LOGL,(pp+1)*(qq+1)*(dd+1),1);
PQ = reshape(PQ,(pp+1)*(qq+1)*(dd+1),1);
[~,bic] = aicbic(LOGL,PQ+1,100);
ar = reshape(bic,pp+1,qq+1,dd+1);
Sir,  i have a univariate time-series y having 10 values and i want to estimate optimum (p,d,q) values for ARIMA model.... it is giving error 'print is not a recongnized parameter'.
1 Comment
  Darren Lim
 on 3 Mar 2021
				Hi Anurag, 
I am pretty new to matlab , may i know how do i get the best p , d and q from the matrix ar ?  Thx!
i try to use min(ar) and get the below result in my sample test. 
(:,:,1) =
  805.4103  811.6983  882.3894
(:,:,2) =
  809.4923  815.7831  831.8577
(:,:,3) =
  813.9255  820.2356  833.2110
but i am not sure how it translate to get the best p , d and q, thanks! 
Darren
Accepted Answer
  Divya Gaddipati
    
 on 11 Feb 2020
        The estimate function doesn't have "print" as a Name-Value pair argument. 
Instead, you can use something like this to turn off displaying the result from the function:
[fit, ~, logL] = estimate(mod, y, 'Display', 'off');
Hope this helps!
2 Comments
  Hamed Majidiyan
 on 7 Mar 2022
				Hi Divya,
I ran the code and I got the following results, even though I don't know how to intrepret the outcomes, so any help would be highly appreciated
ARMA=checkarma(datac_chunk,2,1,2)
ARMA(:,:,1) =
   1.0e+05 *
   -0.9306   -1.7988   -0.9305
   -1.7988   -2.5917   -1.6927
   -2.6918   -3.0212   -0.0683
ARMA(:,:,2) =
   1.0e+05 *
   -1.7987   -0.9305   -1.7987
   -2.5914   -1.6966   -2.5907
   -1.7986   -1.5608   -3.1177
More Answers (0)
See Also
Categories
				Find more on Conditional Mean Models in Help Center and File Exchange
			
	Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!


