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Timestamp:
04/30/08 15:20:07 (16 years ago)
Author:
smidl
Message:

drobnosti a dokumentace

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  • doc/latex/classmgamma.tex

    r79 r91  
    1010\begin{center} 
    1111\leavevmode 
    12 \includegraphics[width=62pt]{classmgamma__inherit__graph} 
     12\includegraphics[width=58pt]{classmgamma__inherit__graph} 
    1313\end{center} 
    1414\end{figure} 
    … …  
    1717\begin{center} 
    1818\leavevmode 
    19 \includegraphics[width=80pt]{classmgamma__coll__graph} 
     19\includegraphics[width=76pt]{classmgamma__coll__graph} 
    2020\end{center} 
    2121\end{figure} 
    … …  
    5555double {\bf k}\label{classmgamma_43f733cce0245a52363d566099add687} 
    5656 
    57 \begin{CompactList}\small\item\em Constant \$k\$. \item\end{CompactList}\item  
     57\begin{CompactList}\small\item\em Constant $k$. \item\end{CompactList}\item  
    5858vec $\ast$ {\bf \_\-beta}\label{classmgamma_5e90652837448bcc29707e7412f99691} 
    5959 
    … …  
    7373Gamma random walk.  
    7474 
    75 Mean value, $\mu$, of this density is given by {\tt rvc} . Standard deviation of the random walk is proportional to one \$k\$-th the mean. This is achieved by setting $\alpha=k$ and $\beta=k/\mu$. 
     75Mean value, $\mu$, of this density is given by {\tt rvc} . Standard deviation of the random walk is proportional to one $k$-th the mean. This is achieved by setting $\alpha=k$ and $\beta=k/\mu$. 
    7676 
    7777The standard deviation of the walk is then: $\mu/\sqrt(k)$.