Fabian projects done

statistics/lecture_statistics02.tex

@@ -369,12 +369,12 @@ incubation. The following plot depicts the mean thymus gland weights in (mg):
       the the first $80$ datapoints, and repeat the following steps
       $m=500$ times:
       \begin{enumerate}
-      \item draw $50$ data points from $x$ with replacement
+      \item draw $80$ data points from $x$ with replacement
       \item compute their mean and store it
       \end{enumerate}
       Look at the standard deviation of the computed means.
     \item Compare the result to the standard deviation of the original
-      $50$ data points and the standard error.
+      $80$ data points and the standard error.
     \end{itemize}
   \end{task}
 \end{frame}

statistics/matlab/invg_loglikelihood.m

@@ -1,4 +1,5 @@
 function ll = invg_loglikelihood(x, p)
     mu = p(1);
     lambda = p(2);
-    ll = mean(.5*(log(lambda) - log(2*pi) - 3*log(x)) - lambda*(x-mu).^2./(2*mu^2*x));
+    ll = .5*(log(lambda) - log(2*pi) - 3*log(x)) - ...
+        lambda*(x-mu).^2./(2*mu^2*x);

statistics/matlab/lserr.m

@@ -1,4 +1,4 @@
-function [err, grad] = lserr(param, x, y)
+function [err, grad] = lserr(x, y, param)
     err = mean( (param(1)*x + param(2) - y).^2 );
     
     if nargout == 2