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ideas for more chapters

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Jan Benda
2020-12-27 21:39:20 +01:00
parent c011e90fdd
commit 5e9ad55d1c
6 changed files with 75 additions and 30 deletions
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18
simulations/lecture/simulations.tex
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@@ -12,14 +12,14 @@ well controlled data sets that are free of confounding pecularities of
real data sets. With simulated data we can also test our own analysis
functions. More importantly, by means of simulations we can explore
possible outcomes of our experiments before we even started the
experiment or we can explore possible results for regimes that we
experiment. We could even explore possible results for regimes that we
cannot test experimentally. How dynamical systems, like for example
predator-prey interactions or the activity of neurons, evolve in time
is a central application for simulations. Computers becoming available
from the second half of the twentieth century on pushed the exciting
field of nonlinear dynamical systems forward. Conceptually, many kinds
of simulations are very simple and are implemented in a few lines of
code.
predator-prey interactions or the activity of neurons or whole brains,
evolve in time is a central application for simulations. The advent of
computers at the second half of the twentieth century pushed the
exciting field of nonlinear dynamical systems forward. Conceptually,
many kinds of simulations are very simple and are implemented in a few
lines of code.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Random numbers}
@@ -83,8 +83,8 @@ given distribution like, for example, the normal distribution. This
simulates repeated measurements of some quantity (e.g., weight of
tigers or firing rate of neurons). Doing so we must specify from which
probability distribution the data should originate from and what are
the parameters (mean, standard deviation, shape parameters, etc.)
that distribution. How to illuastrate and quantify univariate data, no
the parameters of that distribution (mean, standard deviation, shape
parameters, ...). How to illustrate and quantify univariate data, no
matter whether they have been actually measured or whether they have
been simulated as described in the following, is described in
chapter~\ref{descriptivestatisticschapter}.