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Parameter estimation in Poisson processes (Corresp.)
13
Citations
3
References
1975
Year
Parameter IdentificationIntensity FunctionEngineeringParameter EstimationPositive ConstantsDensity EstimationUncertainty QuantificationEstimation StatisticStochastic ProcessesRectangular PulseStochastic AnalysisStatistical InferenceEstimation TheoryPoisson ProcessesStatistics
Accuracy achievable in estimation of an unknown parameter <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">\theta</tex> is considered when the intensity function of an observed Poisson process is given as <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">\alpha + \beta f(t - \theta)</tex> , where <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">\alpha</tex> and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">\beta</tex> are known positive constants and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">f</tex> is a step function or a rectangular pulse.
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