[bootstrap] notes on how to extend the permutation tests
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\include{bootstrap}
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\section{TODO}
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This chapter easily covers two lectures:
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\begin{itemize}
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\item 1. Bootstrapping with a proper introduction of of confidence intervals
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\item 2. Permutation test with a proper introduction of statistical tests (dsitribution of nullhypothesis, significance, power, etc.)
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\item 2. Permutation test with a proper introduction of statistical tests (distribution of nullhypothesis, significance, power, etc.)
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\end{itemize}
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Add jacknife methods to bootstrapping
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Add permutation test for significant different means of two distributions.
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\end{document}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\chapter{Bootstrap methods}
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\chapter{Resampling methods}
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\label{bootstrapchapter}
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\exercisechapter{Bootstrap methods}
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\exercisechapter{Resampling methods}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Bootstrapping}
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Bootstrapping methods are applied to create distributions of
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statistical measures via resampling of a sample. Bootstrapping offers several
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@ -94,7 +98,8 @@ sample. This can be implemented by generating random indices into the
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data set using the \code{randi()} function.
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\section{Bootstrap of the standard error}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\subsection{Bootstrap of the standard error}
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Bootstrapping can be nicely illustrated at the example of the
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\enterm{standard error} of the mean (\determ{Standardfehler}). The
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@ -138,7 +143,9 @@ distribution is the standard error of the mean.
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\end{exercise}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\section{Permutation tests}
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Statistical tests ask for the probability of a measured value to
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originate from a null hypothesis. Is this probability smaller than the
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desired \entermde{Signifikanz}{significance level}, the
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@ -166,6 +173,12 @@ while we conserve all other statistical properties of the data.
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statistically significant.}
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\end{figure}
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%\subsection{Significance of a difference in the mean}
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%See \url{https://en.wikipedia.org/wiki/Resampling_(statistics)#Permutation_tests.}
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\subsection{Significance of correlations}
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A good example for the application of a
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\entermde{Permutationstest}{permutaion test} is the statistical
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assessment of \entermde[correlation]{Korrelation}{correlations}. Given
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