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small fixes

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This commit is contained in:
Jan Benda 2019-11-30 21:49:56 +01:00
parent 4ea857bad6
commit 50458f7f98
2 changed files with 3 additions and 5 deletions
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5
header.tex
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@ -269,7 +269,7 @@
% Write a function that computes the median. % Write a function that computes the median.
% \end{exercise} % \end{exercise}
% %
% result: % result in a nicely colored box with the content:
% %
% Exercise 1: % Exercise 1:
% Write a function that computes the median. % Write a function that computes the median.
@ -288,7 +288,6 @@
\newcommand{\codepath}{} \newcommand{\codepath}{}
\DeclareFloatingEnvironment[ \DeclareFloatingEnvironment[
fileext=loe, fileext=loe,
%listname={\tr{Exercises}{\"Ubungen}},
name={\tr{Exercise}{\"Ubung}}, name={\tr{Exercise}{\"Ubung}},
placement=t, placement=t,
chapterlistsgaps=on, chapterlistsgaps=on,
@ -334,7 +333,7 @@
% %
% \begin{ibox}[tp]{Python} % \begin{ibox}[tp]{Python}
% The cooler programming language. % The cooler programming language.
% \end{exercise} % \end{ibox}
% %
% results in a nicely colored float: % results in a nicely colored float:
% %

3
likelihood/lecture/likelihood.tex
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@ -1,4 +1,3 @@
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\chapter{\tr{Maximum likelihood estimation}{Maximum-Likelihood-Sch\"atzer}} \chapter{\tr{Maximum likelihood estimation}{Maximum-Likelihood-Sch\"atzer}}
@ -286,7 +285,7 @@ out of \eqnref{mleslope} and we get
To see what this expression is, we need to standardize the data. We To see what this expression is, we need to standardize the data. We
make the data mean free and normalize them to their standard make the data mean free and normalize them to their standard
deviation, i.e. $x \mapsto (x - \bar x)/\sigma_x$. The resulting deviation, i.e. $x \mapsto (x - \bar x)/\sigma_x$. The resulting
numbers are also called \enterm{$z$-values} or $z$-scores and they numbers are also called \enterm[z-values]{$z$-values} or $z$-scores and they
have the property $\bar x = 0$ and $\sigma_x = 1$. $z$-scores are have the property $\bar x = 0$ and $\sigma_x = 1$. $z$-scores are
often used in Biology to make quantities that differ in their units often used in Biology to make quantities that differ in their units
comparable. For standardized data the variance comparable. For standardized data the variance