\documentclass[11pt]{article} %\usepackage{amsbsy} % for \boldsymbol and \pmb %\usepackage{graphicx} % To include pdf files! \usepackage{amsmath} \usepackage{amsbsy} \usepackage{amsfonts} %\usepackage[colorlinks=true, pdfstartview=FitV, linkcolor=blue, citecolor=blue, urlcolor=blue]{hyperref} % For links \usepackage{fullpage} % Good for US Letter paper \topmargin=-0.75in \textheight=9.5in \usepackage{fancyhdr} \renewcommand{\headrulewidth}{0pt} % Otherwise there's a rule under the header \setlength{\headheight}{15.2pt} \fancyhf{} \pagestyle{fancy} \cfoot{Page \thepage {} of 2} % %\pagestyle{empty} % No page numbers \begin{document} %\enlargethispage*{1000 pt} \begin{flushright} Name \underline{\hspace{60mm}} \\ $\,$ \\ Student Number \underline{\hspace{60mm}} \end{flushright} \vspace{5mm} \begin{center} {\Large \textbf{STA 442/2101 F 2012 Quiz 8}}\\ \vspace{1 mm} \end{center} \begin{enumerate} \item (5 Points) The distribution of a random variable $Y$ is a member of the natural exponential family if it has density (or probability mass function) \begin{displaymath} f(y|\theta,\phi) = \exp\left\{ \frac{y\theta-b(\theta)}{\phi} + c(y,\phi)\right\}. \end{displaymath} The quantity $\theta$ is the \emph{natural parameter} of the distribution, and $g(\mu)=\theta$ is the natural link function of a generalized linear model, where $\mu=E(Y)$. For logistic regression, the response variable is Bernoulli($\pi$), and $\mu=\pi$. Show that the log odds (logit) is the natural link for this distribution. You may continue your answer onto the reverse side, but I hope you don't need to. \newpage ~ \vspace{220mm} \item (5 points) Attach your SAS log file and list file. Make sure your name is written on \emph{both} printouts. \end{enumerate} \end{document}