一般格式:
egin{figure}
centering
includegraphics[scale=0.2]{Figure211.png}
caption{In the case of a Gaussian distribution, with θ
corresponding to the mean $mu$, the regression
function illustrated in Figure 2.10 takes the form
of a straight line, as shown in red. In this
case, the random variable z corresponds to the
derivative of the log likelihood function and is
given by $(x-mu_{ML})/sigma^2$, and its expectation that
defines the regression function is a straight line
given by $(mu-mu_{ML})/sigma^2$. The root of the regression
function corresponds to the maximum likelihood
estimator $mu_{ML}$.}
end{figure}
若是Figure.eps,则需要在文件前导入两个包:
documentclass{beamer}
usepackage{graphicx}
usepackage{epstopdf}