The application of importance sampling to the efficient simulation of low-probability events is discussed. Several examples are given to illustrate how the technique works for processes involving single and multiple statistical inputs. A procedure is also given for handling the case of multiple inputs where each is from a different statistical process.


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    Title :

    Importance Sampling Applied to Simulation of False Alarm Statistics


    Contributors:


    Publication date :

    1981-01-01


    Size :

    2210755 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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