Estimation of distribution parameters from statistically limited information; muons in KASCADE experiment

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dc.creatorWibig, Tadeusz
dc.date1996-06-21
dc.date.accessioned2026-07-07T03:59:28Z
dc.date.available2026-07-07T03:59:28Z
dc.descriptionThe problem of the estimation of distribution parameters in the case of experimentally limited information is discussed. As an example the determination of the total number of muons in Extensive Air Showers registered in the KASCADE experiment is studied in details. Some methods based on other than standard maximum-likelihood approach are examined. The advantages of the new methods are shown. The comparison with the Artificial Neural Network approach is also given.
dc.description18p; 6 figs
dc.identifierhttps://arxiv.org/abs/hep-ph/9606400
dc.identifierhttp://arxiv.org/abs/hep-ph/9606400
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/46238
dc.subjectHigh Energy Physics - Phenomenology
dc.titleEstimation of distribution parameters from statistically limited information; muons in KASCADE experiment
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