Standard error for custom Maximum Likelihood Estimation

Hey,

i've used the Maximum Likelihood Estimation (https://de.mathworks.com/help/stats/mle.html) with an custom log probability density function to calculate the parameteres of my regression model. Now I'am trying to get the t-statistic of these estimates. I know that I have to divide my estimate by the standard error of the estimate. How do I calculate the standard error?

Currenly I'am using the mlecov funktion (https://de.mathworks.com/help/stats/mlecov.html) but my Estimates seem off.

basismle = mle(data,'logpdf',@custlogpdf,'start',[0,0,0,0,0,0],'Options',options); % custom likelihood estimate

acov = mlecov(phat,data,'logpdf',@custlogpdf)     % Asymptotic covariance
se = sqrt(diag(acov))                             % Standard Error
tstat = [phat(1,1)/se(1,1);                       % t-statistic
         phat(1,2)/se(2,1);
         phat(1,3)/se(3,1);
         phat(1,4)/se(4,1);
         phat(1,5)/se(5,1);
         phat(1,6)/se(6,1)]

Thanks in advance ,

Marcel