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.
Importance Sampling Applied to Simulation of False Alarm Statistics
IEEE Transactions on Aerospace and Electronic Systems ; AES-17 , 1 ; 15-24
01.01.1981
2210755 byte
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
IEEE | 2006
|Automobile antitheft alarm preventing confusion and false alarm
Europäisches Patentamt | 2016
|Vehicle protection without false alarm
Kraftfahrwesen | 1994
|