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Allgemeine Anmerkungen:

* Diese ZIP-Datei enthält 5 Dateien: „bibba.bib“, „Mustermann_Bachelorarbeit_Innenteil.tex“, „Pakete.tex“, „Titelseite.tex“ und „UniGoettingen.pdf“
* Damit die Hauptdatei „Mustermann_Bachelorarbeit_Innenteil.tex“ fehlerfrei kompiliert, muss innerhalb der Datei „Titelseite.tex“ der eigene Pfad zum Uni-Logo („UniGoettingen.pdf“) bei „\includegraphics[width=0.8\textwidth]{/Users/Mustermann/Desktop/TEX-Vorlage/Vorlage/UniGoettingen.pdf}“ eigefügt werden (Mac-Nutzer können den Pfad zur Datei wie folgt bekommen: Auf die Datei „UniGoettingen.pdf“ klicken, dann auf die Menüleiste -> Hilfe -> den Suchstring „als Pfadname kopieren“ eingeben und auf "„UniGoettingen.pdf“ als Pfadname kopieren" klicken). Danach muss die Datei „Titelseite.tex“ gespeichert werden und die Hauptdatei kompiliert werden.

* Falls einige Sachen in der Hauptdatei nicht richtig angezeigt (das Inhaltsverzeichnis, oder das Literaturverzeichnis nicht geladen werden o. Ä.) -> die temporären Dateien, die bei jedem Kompiliervorgang erzeugt werden löschen und noch einmal kompilieren. Falls weitere Probleme auftreten, versuchen mit 6 (PDFLaTeX) - F11 (BibTeX) - F6 (PDFLaTeX) - F6 (PDFLaTeX) und dann F1 (schnelles Übersetzen) (Reihenfolge beachten) zu kompilieren.

* Weitere Anmerkungen und Hilfestellungen als Anmerkungen in der Hauptdatei

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Mustermann_Bachelorarbeit_Innenteil.aux View File

\relax
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Mustermann_Bachelorarbeit_Innenteil.bbl View File


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Mustermann_Bachelorarbeit_Innenteil.blg View File

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\documentclass[12pt, a4paper, oneside]{article}
%die Pakete werden hier durch den Include-Befehl separat eingelesen
\include{Pakete}

\lstset{language=R}
\lstset{basicstyle=\ttfamily,
basicstyle=\small}
\lstset{literate=%
{Ö}{{\"O}}1
{Ä}{{\"A}}1
{Ü}{{\"U}}1
{ß}{{\ss}}1
{ü}{{\"u}}1
{ä}{{\"a}}1
{ö}{{\"o}}1
}

\title{\textbf{Titel der Arbeit}}
\author{Max Mustermann}

\setlength{\parindent}{0cm} %keine Einrückung
\linespread{1.5}

\acsetup{first-style=short}
\newpage
\newpage
%Hier fängt die Deklarierung von Akronymen
%in alphabetischer Reihenfolge an
%auf Akronym im Text verweisen mittels \ac{ }
\DeclareAcronym{AIC}{
short = AIC ,
long = \hspace*{22mm}Akaike-Informationskriterium ,
class = abbrev
}

\DeclareAcronym{BLES}{
short = BLES ,
long = \hspace*{19mm}Bester Linearer Erwartungstreuer Schätzer ,
class = abbrev
}

\DeclareAcronym{c.p.}{
short = c.p. ,
long = \hspace*{22mm}ceteris paribus ,
class = abbrev
}


\DeclareAcronym{u.i.v.}{
short = u.i.v. ,
long = \hspace*{22mm}unabhängig und identisch verteilt ,
class = abbrev
}

\DeclareAcronym{KQS}{
short = KQS ,
long = \hspace*{20mm}Kleinste-Quadrate-Schätzung ,
class = abbrev
}


\DeclareAcronym{VA}{
short = VA ,
long = \hspace*{23mm}Varianzanalyse ,
class = abbrev
}


\newpage
\newpage
%in alphabetischer Reihenfolge

\newcounter{SeitenzahlSpeicher}
\begin{document}

\include{Titelseite}

\begin{spacing}{1}
\pagenumbering{Roman}
\setcounter{page}{2}
\tableofcontents
\end{spacing}
\newpage
\begin{spacing}{1}
\section*{Abbildungsverzeichnis}
\addcontentsline{toc}{section}{Abbildungsverzeichnis}
\renewcommand{\listfigurename}{}
\listoffigures
\end{spacing}
\newpage
\section*{Tabellenverzeichnis}
\addcontentsline{toc}{section}{Tabellenverzeichnis}
\renewcommand{\listtablename}{}
\listoftables % Tabellenverzeichnis
\footnote{Alle Tabellen wurden eigenständig erstellt, siehe \emph{R}-Code}
\newpage
\section*{Symbolverzeichnis}
\addcontentsline{toc}{section}{Symbolverzeichnis}
%Sortieren nach Auftreten im Text
\begin{table}[h] \begin{center} \begin{tabular}{|lll|} \hline
& \textbf{Symbol} & \textbf{Bedeutung} \\ \hline \hline
& $H_0 \colon$ &Nullhypothese\\
& $H_1 \colon$ &Alternativhypothese\\
& $\mathbf{I}_n\colon$ &Einheitsmatrix der Dimension $n$\\
& $k$ &Anzahl der unabhängigen Variablen\\
& $L(\cdot)$ &Plausibilitätsfunktion bzw. Likelihood-Funktion\\
& $\ell(\cdot)$ & logarithmische Plausibilitätsfunktion bzw. log-Likelihood-Funktion\\
& $n\colon$& Stichprobenumfang\\
& $p$ &Anzahl der Regressionsparameter\\
& $R^2\colon$ & Bestimmtheitsmaß\\
& $\overline{R}^2\colon$ & adjustiertes Bestimmtheitsmaß\\
& $\mathbf{X}\colon$& Versuchsplanmatrix \\
& $\beta_1,\beta_2, \ldots, \beta_k\colon$& unbekannte Regressionsparameter\\
& $ G_\Phi(\vartheta)$& Gütefunktion\\
& $\hat{\boldsymbol \beta}\colon$& KQ-Schätzvektor \\ \hline
\end{tabular} \end{center} \end{table}
\newpage
\section*{Abkürzungsverzeichnis}
\addcontentsline{toc}{section}{Abkürzungsverzeichnis}
\printacronyms[include-classes=abbrev,name=Abkürzungen]
\newpage
\clearpage
\setcounter{SeitenzahlSpeicher}{\value{page}}
\pagenumbering{arabic}
\newpage
\pagenumbering{arabic}

\section{Einführung}
\subsection{Situationsbeschreibung}
%-Aktueller Bezug
%-Größerer Bezugsrahmen
%-Historischer Bezug
%-beschreiben, welcher Autor welche Sicht hat und welches z.B. ein einflussreiches Paper ist und das die anderen Paper darauf aufbauen
\emph{Lorem ipsum dolor} sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. (\ac{KQS}) Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. $1800$ Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua \ac{BLES}. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est labo\-rum.\\ TLorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. \emph{Ut enim ad minim veniam}, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident (\ac{VA}), sunt in culpa qui officia deserunt mollit anim id est laborum.

\subsection{Motivation und Forschungsfragen}
%-Problemorientierter Bezug
%Problemstellung:
%-Zentrales Ziel der Untersuchung bzw. Forschungsfrage
%-(daraus abgeleitet) themenrelevante Teilfragen
\lipsum
Konkret ergeben sich die folgenden Forschungsfragen:\\

\begin{enumerate}
\item Lorem ipsum dolor sit amet, consectetur adipisici elit?
\item Excepteur sint obcaecat -- cupiditat non proident\footnote{Der Halbgeviertstrich wird durch Eingabe der Minuszeichens zweimal hintereinander erzeugt} -- , sunt in culpa qui officia deserunt mollit anim id est laborum?
\end{enumerate}
Aus diesen beiden Hauptfragestellungen ergeben sich daraus abgeleitete themenrelevante Teilfragen:

\begin{enumerate}
\item Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat?
\item Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur?
\end{enumerate}

\emph{Lorem ipsum dolor}\footnote{Fachtermini sollten kursiv hervorgehoben werden} sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation -- ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.

\subsection{Vorgehensweise}
%Gang der Untersuchung:
%-Vorgehensweise
%-Auf Kapitel beziehen
\lipsum

\section{Arbitrageverhalten in Finanzmärkten}
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
%
\begin{small}
\begin{quote}
"`Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum."' (übersetzt durch Autor)\footnote{Bei Überzetzungen sollte genannt werden, ob es sich um eine in der Literatur rezipierte Übersetzung handelt, oder ob es sich um ein Eigenübersetzung des Autors handelt}
\end{quote}
\end{small}
%
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\\

\subsection{Dimensionen von Finanzmärkten}
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

\subsection{Probleme bei der Analyse des Arbitrageverhaltens}
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%
\begin{enumerate}
\item Lorem ipsum
\item dolor sit amet, consectetur adipisici elit
\item sed eiusmod tempor incidunt ut labore et dolore magna aliqua
\end{enumerate}
%
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\footnote{Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua.} Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

\section{Klassifikation}
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\subsection{Anwendungen von Arbitragestrategien}
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. (siehe \autoref{fig:Abbildung 2}).
%

%
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\subsection{Auswirkungen von Arbitragestrategien}
ALorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. $300$--$500$ km.\\
\\
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\subsection{Ziele von Arbitragestrategien}
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\subsection{Aufbau von Arbitragestrategien}
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed \underline{eiusmod} tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum:``Lorem ipsum''.

\renewcommand{\labelenumi}{\roman{enumi})}
\begin{enumerate}
\item Lorem ipsum
\item dolor sit amet, consectetur adipisici elit
\item sed eiusmod tempor incidunt ut labore et dolore magna aliqua
\item ullamco laboris nisi ut aliquid
\item ex ea commodi
\item consequat
\end{enumerate}

\setcounter {footnote} {0}
\section{Datenaufbereitung}
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%
\begin{quote}
"`Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate \& velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum?"' (übersetzt durch Autor)
\end{quote}
%
Lorem ipsum dolor sit amet, consectetur adipisici elit (\texttt{Variable1}, \texttt{Variable2}, \texttt{Variable3}) sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
\newpage
\begin{table}[!htbp] \centering
\footnotesize
\caption{Variablen (Auswahl), Parameter und erwartete Richtung des Effektes}
\label{descriptive}
\begin{tabularx}{\columnwidth}{XXl}
\hline\hline
\multicolumn{1}{l}{\emph{Variablen und statistische Parameter}} & \multicolumn{1}{c}{\emph{Beschreibung}} & \multicolumn{1}{c}{\emph{Erwartung}} \\
\hline \\[-1.8ex]
Endogene Variablen:\\
\hline
\hline
\texttt{Y1:} & Y-Variable1: Lorem ipsum dolor sit amet; & \\
$n=3592, \;\operatorname{med}=4$ &ordinale Variable:&\\
&1 (sehr schlecht) -- 5 (sehr gut)&\\
\\
\hline
\texttt{Y2:} & Y-Variable2: consectetur adipisici elit; & \\
$n=3556 , \;\operatorname{med}=4$ &ordinale Variable:&\\
&1 (sehr schlecht) -- 5 (sehr gut)&\\
\\
\hline
\hline
Exogene Variablen (Auswahl):\\
\hline
\hline
\texttt{X1:} & X-Variable1: Lorem ipsum dolor sit amet; & $\qquad \qquad \qquad +$\\
$\mu=46{,}929$, $\sigma=15{,}148$, & diskret, verhältnisskaliert &\\
$n=7148$, $\operatorname{min}=18$, $\operatorname{max}=92$ &&\\
\\
\hline
\texttt{X2:} & X-Variable2: consectetur adipisici elit; & $\qquad \qquad \qquad -$ \\
$\mu=1{,}5110$, $\sigma= 0{,}500$, & diskret, verhältnisskaliert; &\\
$n=7148$, $\operatorname{min}=1$, $\operatorname{max}=2$ & Zwei Faktorstufen (dichotom): &\\
& 1 = Männlich &\\
& 2 = Weiblich &\\
\\
\hline
\texttt{X3:} & X-Variable3: Lorem ipsum dolor sit amet; & $\qquad \qquad - (\text{i.V. zur RK} )$ \\
$n=7148$ & Sieben Faktorstufen (polytom): &\\
& 1 = Land1 &\\
& 2 = Land2 &\\
& 3 = Land3 &\\
& 4 = Land4 &\\
& 5 = Land5 &\\
& 6 = Land6 &\\
& 7 = Land7 &\\
\\
\hline
\texttt{X4:} & X-Variable4: consectetur adipisici elit; & $\qquad \qquad \qquad -$ \\
$n=7148$ &ordinale Variable:&\\
&1 (Lorem ipsum dolor sit amet) -- 5 (consectetur adipisici elit)&\\
\\
\hline
\end{tabularx}
\\
\tiny{\emph{Anmerkungen:} \emph{Lorem ipsum dolor} sit amet $\mu=\overline{x}$, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum $\sigma=s$. (+) Vice versa}
\end{table}
\newpage

\section{Methodik}
\subsection{Lineare Regression}
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum\cite[S. 87]{woolridge2003introductory}) dar. Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\cite[S. 103 ff.]{woolridge2003introductory} Lorem $k$ ipsum $x_1, x_2, \ldots, x_k$ dolor $p=k+1$ sit amet $\beta_0,\beta_1,\beta_2,\ldots, \beta_k$ consecetur.\cite[S. 71]{woolridge2003introductory} FLorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum
%
\begin{equation*}
f(x \mid\mu,\sigma^2)=\frac{1}{\sqrt{2\pi\sigma^2}}\operatorname{exp}\left(-\frac{(x-\mu)^2}{2\sigma^2}\right)=\frac{1}{\sqrt{2\pi\sigma^2}} e^{-\frac{(x-\mu)^2}{2\sigma^2}}\quad -\infty<x<\infty
\end{equation*}\footnote{durch das Sternchen in der Equation-Umgebung kann die Nummerierung der Formeln ein- und ausgeschaltet werden}
%
Lorem $x_1, x_2, \ldots, x_k$ ipsum \emph{lorem}, \emph{ipsum} dolor \emph{sit amet}Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum\cite[S. 453]{fahrmeir2016statistik}
%
\begin{equation}
f_n(x) = \frac{1}{2^{\frac{n}{2}}\Gamma(\tfrac{n}{2})} x^{\frac{n}{2}-1}\operatorname{exp}\left\{ -\frac x2\right\} \quad, x > 0
\end{equation}
%
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.\footnote{Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat.\hspace*{5mm} Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut \hspace*{5mm} Lorem ipsum dolor sit amet\ac{u.i.v.}, consectetur adipisici elit.}
%
\begin{equation*}
\operatorname{Cov}(\mathbf e)=\operatorname{E}(\mathbf e \mathbf e^{\top})
= \begin{pmatrix}
\operatorname{E}(\boldsymbol e_1 \boldsymbol e_1^{\top}) & \cdots & \operatorname{E}(\boldsymbol e_1 \boldsymbol e_N^{\top}) \\ \\
\vdots & \ddots & \vdots \\ \\
\operatorname{E}(\boldsymbol e_N \boldsymbol e_1^{\top}) & \cdots & \operatorname{E}(\boldsymbol e_N \boldsymbol e_N^{\top})
\end{pmatrix}= \begin{pmatrix}
\sigma_{11}\mathbf I_T & \cdots &\sigma_{1N}\mathbf I_T \\ \\
\vdots & \ddots & \vdots \\ \\
\sigma_{N1}\mathbf I_T & \cdots &\sigma_{NN}\mathbf I_T
\end{pmatrix}
\end{equation*}
%

\subsection{Dummy-Regression}
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\section{Deskriptive Analyse}
\subsection{Soziodemographischer Überblick}
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\begin{table}[!ht]
\centering
\begin{tabular}{lr}
\textbf{Lorem ipsum} & \textbf{Angaben in \%}\\
Lorem ipsum dolor & $9{,}583 $ \% \\
consectetur adipisici elit & $43{,}844 $ \% \\
sed eiusmod tempor incidunt ut & $22{,}552 $ \% \\
labore et dolore magna aliqua & $18{,}820 $ \% \\
Ut enim ad minim veniam & $5{,}204 $ \%\\
\end{tabular}

\caption{Lorem ipsum dolor consectetur adipisici elit}
\label{tbl:Tabelle 2}

\end{table}

\subsection{Globale Akzeptanz von Arbitragestrategien}
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\subsubsection{Bewusstsein}
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%
\begin{tiny}
\begin{table}[!ht]
\centering
\begin{tabular}{llllll}
\textbf{Lorem} &\textbf{ipsum} & \textbf{dolor} & \textbf{sit} & \textbf{amet} \\
Lorem ipsum & $0{,}76817289$ & $0{,}77369439$ & $0{,}692759295$ & $0{,}750980392$ \\
dolor & $0{,}15717092$ & $0{,}20309478$ & $0{,}285714286$ & $0{,}176470588$ \\
sit amet & $0{,}05893910$ & $0{,}01353965$ & $0{,}019569472$ & $0{,}062745098$ \\
onsectetur adipisici elit \\sed eiusmod tempor incidunt ut & $0{,}01571709$ & $0{,}00967118$ & $0{,}001956947$ & $ 0{,}009803922$ \\
\end{tabular}

\caption{Lorem ipsum dolor consectetur adipisici elit}
\label{tbl:Tabellen 3}
% Verweis im Text mittels \ref{tbl:beispieltabelle}

\end{table}
\end{tiny}
%

\subsubsection{Selbstidentität}
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\subsubsection{Befürworter und Gegner von Arbitragestrategien}
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\subsection{Länderspezifische Unterschiede in der globalen Akzeptanz unterschiedlicher Arbitragestrategien}
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%
\begin{equation*}
\text{D}_{1} = \begin{cases}
1 & \text{falls}\quad 1(x=1)\\
0 & \text{sonst.}\\
\end{cases}
\;\;
\mathbf{\dotsc}
\;\;
\text{D}_{(c-1)} = \begin{cases}
1 & \text{falls}\quad 7(\text{x=c-1})\\
0 & \text{sonst.}\\
\end{cases}
\end{equation*}
%
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
%
\begin{eqnarray}
\text{Zielvariable}_i &=&\beta_0+\text{Variable1}_{i1} \beta_{1}+\text{Variable2}_{i2} \beta_{2}+\text{Variable3}_{i3} \beta_{3}\nonumber\\
& +&\text{Variable4}_{i4} \beta_{4}+\text{Variable5}_{i5} \beta_{5}+\text{Variable6}_{i6} \beta_{6}\\
& +& \varepsilon_i \quad, i=1, \ldots, n\nonumber
\end{eqnarray}
%
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

\subsection{Geschlechtsspezifische Unterschiede}
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

\section{Regressionsanalyse}
\subsection{Modellauswahl und Spezifikation}
Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum (\ac{AIC}):

\begin{equation*}
\text{AIC}=-2\cdot \ln \left(L(\hat{\boldsymbol{\theta}}\right)+2p\;,
\end{equation*}

Lorem $\ell$ ipsum dolor sit amet, consectetur adipisici elit $\hat{\boldsymbol{\theta}}=\begin{pmatrix} \hat{\mathbf{\theta}}_1,\hat{\mathbf{\theta}}_2, & \ldots &, \hat{\mathbf{\theta}}_p\end{pmatrix}$ ipsum dolor sit amet, consectetur adipisici elit $p=(k+1)$-ipsum dolor $\boldsymbol{\theta}$ lorem.\\ Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

\subsection{Ergebnisse der Regression und Interpretation}
Excepteur sint obcaecat cupiditat non proident (\autoref{tbl:Tabelle 8}), sunt in culpa qui officia deserunt mollit anim id est laborum.

\begin{longtable}{@{\extracolsep{5pt}}lD{.}{.}{-3} }
\caption{Ergebnisse der Regression von $Y$ auf $X$}
\\[-1.8ex]\hline
\hline \\[-1.8ex]
& \multicolumn{1}{c}{\textit{Endogene Variable:}} \\
\cline{2-2}
\\[-1.8ex] & \multicolumn{1}{c}{Y-Variable1} \\
\hline \\[-1.8ex]
(Achsenabschnitt) & 0.402^{***}$ $(0.102) \\
Variable1 & 0.043$ $(0.037) \\
Variable2 & 0.095^{**}$ $(0.035) \\
Variable3 & -0.003$ $(0.035) \\
Variable4 & -0.088^{*}$ $(0.037) \\
Variable5 & 0.068^{.}$ $(0.035) \\
Variable6 & 0.069^{.}$ $(0.035) \\
Variable7 & 0.026^{*}$ $(0.012) \\
Variable8 & 0.052^{***}$ $(0.015) \\
Variable9 & 0.057^{***}$ $(0.015) \\
Variable10 & 0.094^{***}$ $(0.008) \\
\hline \\[-1.8ex]
Anzahl der Beobachtungen & \multicolumn{1}{c}{3,592} \\
R$^{2}$ & \multicolumn{1}{c}{0.555} \\
Adjustiertes R$^{2}$ & \multicolumn{1}{c}{0.551} \\
Standardfehler der Regression & \multicolumn{1}{c}{0.541 (df = 3560)} \\
\emph{F}-Statistik & \multicolumn{1}{c}{143.377$^{***}$ (df = 31; 3560)} \\
\hline
\hline \\[-1.8ex]
\textit{Signif. codes:} & \multicolumn{1}{r}{$^{***}$p$<$0.001; $^{**}$p$<$0.01; $^{*}$p$<$0.05; $^{.}$p$<$0.1} \\
\label{tbl:Tabelle 8}
\end{longtable}

Lorem ipsum dolor sit amet, consectetur adipisici elit, sed eiusmod tempor incidunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquid ex ea commodi consequat. Quis aute iure reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
%
\begin{eqnarray}
\widehat{\text{depVar}}_i = 0{,}402 &+& 0{,}001\cdot\text{Variable1}_{i1}+ 0{,}043\cdot\text{Variable1}_{i2} -0{,}003 \cdot \text{Variable3}_{i3} \nonumber\\\nonumber
&-& 0{,}088 \cdot \text{Variable3}_{i4}+ 0{,}068 \cdot \text{Variable3}_{i5} + 0{,}069 \cdot \text{Variable3}_{i6}\\\nonumber
&+& \text{remaining factors} \quad, i=1,2,\ldots , 3592 \; , \overline{R}^2=0{,}551\nonumber
\end{eqnarray}
%
Lorem ipsum dolor sit amet, consectetur adipisici elit, \texttt{Var1}--\texttt{Var7} sed eiusmod $0{,}001$- tempor incidunt ut labore et dolore magna aliqua. Excepteur sint obcaecat cupiditat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum $0{,}1$ \% ut enim ad minim veniam. Quis aute iure reprehenderit in voluptate velit esse $H_0:\beta_\text{Info1A}=0; H_0:\beta_\text{Info2A}=0; \;\ldots \; ; H_0:\beta_\text{Info6A}=0$ quis nostrud exercitation ullamco laboris nisi $H_1:\beta_\text{Info1A}\ne 0; H_1:\beta_\text{Info2A}\ne 0; \;\ldots \; ; H_1:\beta_\text{Info6A}\ne 0$ ut aliquid ex ea commodi consequat. Lorem ipsum dolor \texttt{Variable1}, \texttt{Variable2}, \texttt{Variable3}, \texttt{Variable4}, \texttt{Variable5}, \texttt{Variable6} lorem ipsum dolor sit amet $0{,}001$.\\

\subsection{Anpassungsgüte und Schätzunsicherheit}
\lipsum

\section{Kritische Beurteilung und Limitationen}
\lipsum

\section{Zusammenfassung und Ausblick}
%Implikationen für Forschung und Politik
%Fazit
\lipsum

\newpage
\clearpage
\pagenumbering{Roman}
\setcounter{page}{\theSeitenzahlSpeicher}
%\blindtext[3]


%mit Bibtex gearbeitet:
%Falls die Referenzen nicht funktionieren, mehrmals kompilieren mit F6 - F11 - F6 - F6 und dann F1 (Reihenfolge beachten) versuchen
%google scolar dann auf zitieren Bixtex klicken und copy paste
%thebibliography=Datei auf die Zugegriffen wird
%\large If you want to learn about linear and semiparametric regression, you should try \cite{Regression}, whereas \cite{Hobbit} will be disappointing in this context.


\section{Literaturverzeichnis}
\bibliographystyle{gerplain}
\renewcommand{\refname}{}
\bibliography{bibba}

\newpage


\appendix %Anhang
\pagenumbering{arabic}
\section{Anhang}
\subsection{Graphiken}
%

%
\newpage
%fig

%
%\subsection{Items}
\subsection{Mathematischer Anhang}

Es sei $X\sim \mathcal{G}(p,\, b)$ eine gammaverteilte Zufallsvariable mit Träger $\mathcal T_X =(0, \infty)$. Die Dichte der Gammaverteilung ist dann gegeben durch
%

\begin{equation*} p(\tau) = \frac{b^a}{\Gamma(a)}\tau^{a-1}\operatorname{exp}\{-b\tau\}
\end{equation*}, mit der Gammafunktion
\begin{equation*} \quad\Gamma(a)= \int_{0}^{\infty}x^{a-1}\operatorname{exp}\{-x\}\mathrm dx
\end{equation*}

Dies ist eine Dichte, da $p(\tau) \geq 0$ und

\begin{eqnarray*}p(\tau) = \int_{-\infty}^{+\infty}\frac{b^a}{\Gamma(a)}\tau^{a-1}\operatorname{exp}\{-b\tau\}\mathrm d\tau &= \\ \frac{b^a}{\Gamma(a)}\tau^{a-1} \cdot \int_{0}^{+\infty}\operatorname{exp}\{-b\tau\}\mathrm d\tau &= \\ \frac{b^a}{\Gamma(a)} \cdot \int_{0}^{+\infty}\left(\frac{u}{b}\right)^{a-1}\frac{\operatorname{exp}\{-u\}}{b}\mathrm{d} u &= \\ \frac{b^a}{\Gamma(a)} \frac{1}{b^a} \underbrace{\int_{0}^{+\infty} u^{a-1}\operatorname{exp}\{-u\}}_{=\Gamma(a)}=1
\end{eqnarray*}

Falls $\lim_{T \to \infty}\left(\frac{\mathbf{X}_T^{\top} \mathbf{X}_T}{T}\right)=\mathbf{Q}$ gilt, wobei $\mathbf{Q}$ eine endliche nichtsinguläre Matrix ist, dann ist der KQ-Schätzvektor $\hat {\boldsymbol \beta}$ konsitent für $\boldsymbol \beta$\cite[S. 267]{judge1982introduction}

%
\begin{eqnarray*}\operatorname{plim}(\hat {\boldsymbol \beta} ) = \operatorname{plim}\left( \left(\mathbf{X}^\top \mathbf X \right)^{-1}\mathbf {X}^\top \mathbf y\right) &=\\ \operatorname{plim}\left( \boldsymbol \beta+\left(\mathbf{X}^\top \mathbf X \right)^{-1}\mathbf {X}^\top \boldsymbol \varepsilon \right)
&=\\ \boldsymbol\beta+\operatorname{plim}\left(\left(\mathbf{X}^\top \mathbf X \right)^{-1}\mathbf {X}^\top \boldsymbol \varepsilon \right)
&=\\ \boldsymbol \beta+\operatorname{plim}\left(\left(\left(\mathbf{X}^\top \mathbf X \right)^{-1}/T \right)\right) \cdot \operatorname{plim}\left(\left(\left(\mathbf{X}^\top \boldsymbol \varepsilon \right)/T \right)\right)
&=\\ \boldsymbol \beta+[\operatorname{plim}( \underbrace{((\mathbf{X}^\top \mathbf{X} )/T) )}_{=\mathbf{Q}} ]^{-1} \cdot \underbrace{\operatorname{plim}\left(\left(\left(\mathbf{X}^\top \boldsymbol \varepsilon \right)/T\right)\right)}_{=0}= \boldsymbol \beta
\end{eqnarray*}
%
\newpage
\subsection{R-Code}

Anbei, der R-Code auf der diese Arbeit aufbaut:
\begin{tiny}
\begin{lstlisting}
#Packages installieren:
install.packages("tidyverse")
install.packages("dplyr")
install.packages("datasets")
install.packages("MASS")
install.packages("ggplot2")
install.packages("stargazer")
install.packages("xtable")

#Daten einlesen:
install.packages("haven")
install.packages("Hmisc")

dat <- rio::import(file =
"/Users/maxmustermann/Desktop/Bachelorarbeit/Daten/fdhps.sav",
na.strings = "NA")

#Überblick über den Datenastz:
class(dat$q30a_2)
ls(dat) #oder
class(dat)
colnames(dat)
str(dat)
summary(dat)

[...]
\end{lstlisting}
\end{tiny}

\newpage

\section{Eigenständigkeitserklärung}
``Ich versichere, dass ich die Arbeit selbständig und ohne Benutzung anderer als der angegebenen Hilfsmittel angefertigt habe. Alle Stellen, die wörtlich oder sinngemäß aus Veröffentlichungen oder anderen Quellen entnommen sind, sind als solche kenntlich gemacht. Die schriftliche und die elektronische Form der Arbeit stimmen überein. Ich stimme der Überprüfung der Arbeit durch eine Plagiatssoftware zu.''
\paragraph{}$~~$\\
\paragraph{}$~~$\\
\vspace{50pt}
\noindent\rule{5cm}{.4pt}\hfill\rule{5cm}{.4pt}\par
\noindent Ort, Datum \hfill Unterschrift
\end{document}

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\thispagestyle{empty}
% thispagestyle{empty} unterdrückt Seitenzahlen auf der gewünschten Seite
\newfont{\smc}{cmcsc10 at 12pt}
% \maketitle
%Aufpassen mit fi: Fehlercode U+FB01
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%Titel, Autor, Seminar, Semester, Dozent %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{center}
\thispagestyle{empty}
\begin{figure}[t]
\centering
\includegraphics[width=0.5\textwidth]{./img/ohm_logo.png}
\end{figure}

$~~$\\
\textbf{\huge Übersicht über "Forward Error Correction" in der Kommunikationstechnik.}\paragraph{}$~~$\\
\paragraph{}$~~$\\
\paragraph{}$~~$\\
\textbf{Studienarbeit}\\ \textbf{aus dem Modul KOM4-1 Photonische Netze}\\ \textbf{an der Technischen Hochschule Nürnberg}
\paragraph{}$~~$\\
\paragraph{}$~~$\\
\paragraph{}$~~$\\
\text{vorgelegt am: 31.01.2025}\\
\text{von: Daniel Binner}\\
\text{Prüfer: Prof. Dr. Olaf Ziemann}\\
\paragraph{}$~~$\\
\text{Technische Hochschule Nürnberg}\\
\text{Fakultät für Elektrotechnik Feinmechanik Informationstechnik}\\
\end{center}
\end{titlepage}


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@book{schlittgen2013regressionsanalysen,
title={Regressionsanalysen mit R},
author={Schlittgen, Rainer},
year={2013},
publisher={Walter de Gruyter}
}


@article{judge1982introduction,
title={Introduction to the Theory and Practice of Econometrics.},
author={Judge, George G and Hill, Rufus Carter and Griffiths, William and Lutkepohl, Helmut and Lee, Tsoung Chao},
year={1982},
publisher={New York New York John Wiley and Sons 1982.}
}


@book{fahrmeir2013regression,
title={Regression: models, methods and applications},
author={Fahrmeir, Ludwig and Kneib, Thomas and Lang, Stefan and Marx, Brian},
year={2013},
publisher={Springer Science \& Business Media}
}


@book{fahrmeir2016statistik,
title={Statistik: Der Weg zur Datenanalyse},
author={Fahrmeir, Ludwig and Heumann, Christian and K{\"u}nstler, Rita and Pigeot, Iris and Tutz, Gerhard},
year={2016},
publisher={Springer-Verlag}
}


@article{woolridge2003introductory,
title={Introductory econometrics: A modern approach},
author={Woolridge, Jeffrey M},
journal={Thomson, Mason},
year={2003}
}


@book{fahrmeir2016statistik,
title={Statistik: Der Weg zur Datenanalyse},
author={Fahrmeir, Ludwig and Heumann, Christian and K{\"u}nstler, Rita and Pigeot, Iris and Tutz, Gerhard},
year={2016},
publisher={Springer-Verlag}
}


@article{ioannidis2005most,
title={Why most published research findings are false},
author={Ioannidis, John PA},
journal={PLoS medicine},
volume={2},
number={8},
pages={e124},
year={2005},
publisher={Public Library of Science}
}

@article{woolridge2003introductory,
title={Introductory econometrics: A modern approach},
author={Woolridge, Jeffrey M},
year={2003}
}

@article{greene2003econometric,
title={Econometric analysis, 5th},
author={Greene, William H},
journal={Ed.. Upper Saddle River, NJ},
pages={89--140},
year={2003}
}

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