The expected "long leg n" turns out as "6".how come the words after the long leg n will appear in next line?
{where l is the log likelihood function,\\
\mathnrleg is the vector of nuisance parameters,\\
($\hat{\theta}$,$\hat{\mathnrleg}$) is the maximum likelihood estimator of($\theta$,$\mathnrleg$),\\
$\tilde{\mathnrleg}$ is the restricted maximum likelihood estimator of $\mathnrleg$ under $\text {H}_0.$}
MWE:
\documentclass[12pt]{beamer}
\usepackage[utf8]{inputenc}
\usepackage{amsmath}
\usepackage[T1]{tipa}
\usepackage{tipx}
\usetheme{Frankfurt}
\usefonttheme{serif}
\usecolortheme{dolphin}
\begin{document}
\begin{frame}
\textcolor{blue}{\underline {Likelihood Ratio Method}}
\begin{itemize}
\item For a scalar parameter of interest $\theta$, the likelihood ratio statistic for testing the null hypothesis, $\text{H}_0$: $\theta$= $\theta_0$ versus $\text{H}_1$: $\theta$ $\neq$ $\theta_0$ is given as,
\setlength{\abovedisplayskip}{0pt}
\setlength{\belowdisplayskip}{0pt}
$$\Psi=2[l(\hat{\theta},\hat{\textipa{\textnrleg}}$$
\end{itemize}
\end{frame}
\end{document}


\documentclassand ending with\end{document}that actually results in this problem. that will give helpers something concrete to work with. otherwise, they'll have to construct a test themselves, and that could involve a lot of useless guessing. – barbara beeton Dec 06 '17 at 16:34