Approximation Technique

An approximation to the expected cumulative rate reward $E[CR(t)]$ can also be obtained similarly to the method used to calculate the point probabilities (See [#!technicalreportespa!#] for more details.)

  1. Expected Cumulative Reward Approximation - Direct Method. The interface to compute the expected cumulative reward approximation, using a direct method is shown in Figure [*].

    Figure: Expected Cumulative Rate Reward Interface - Approximation Technique.
    \includegraphics[width=4in]{figuras/esradirect.eps}

    The input parameters are the same as for the Point Probability Approximation Method. However, when a Measure of Interest is chosen, the Expected Cumulative Reward Approximation method does not allow the Expected Value option .

  2. Expected Cumulative Reward Approximation - Iterative Method. The interface to compute the expected cumulative reward approximation, using an iterative method, is shown in Figure [*].

    Figure: Expected Cumulative Rate Reward Interface - Approximation Technique.
    \includegraphics[width=4in]{figuras/esraiterative.eps}

    The input parameters are the same as for the Point Probability Approximation Method. However, when a Measure of Interest is chosen, the Expected Cumulative Reward Approximation method does not allow the Expected Value option .

Guilherme Dutra Gonzaga Jaime 2010-10-27