chapter.tex

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\begin{document}

\chapter{Fitting and Graphing Discrete Distributions}\label{ch:discrete}

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            child { node {3.1 \\ Introduction}}
            child { node {3.2 \\ Characteristics}}
            child { node {3.3 Fitting}}
            child { node {3.4 \\ Ord plots}}
            child { node {3.5 \\ Poissonness plots}}
            child { node (sec36) {3.6 \\ Fitting by GLMs}}
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\chapterprelude{%
Discrete data often follow various theoretical probability models.
Graphic displays are used to visualize goodness of fit,
to diagnose an appropriate model, and determine the impact of
individual observations on estimated parameters.
}

\section{Introduction to discrete distributions}\label{sec:discrete-intro}
\blindtext
\section{Characteristics of  discrete distributions}\label{sec:discrete-distrib}
\section{Fitting discrete distributions}\label{sec:discrete-fit}
\section{Diagnosing discrete distributions: Ord plots}\label{sec:discrete-ord}
\section{Poissonness plots and generalized distribution plots}\label{sec:discrete-Poissonness}
\section{Fitting discrete distributions as generalized linear models\hard}\label{sec:fitglm}

\end{document}