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Intervalldaten und generalisierte lineare Modelle

Intervalldaten und generalisierte lineare Modelle

Michael Seitz

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Editorial:
Springer Nature B.V.
Año de edición:
2015
Materia
Probabilidad y estadística
ISBN:
9783658087456
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Sobre IBD

Da eine direkte präzise Schätzung von Parametern mit Intervalldaten in generalisierten linearen Modellen nicht möglich ist, formuliert Michael Seitz die Intervallschätzungen der Parameter als Optimierungsproblem und schlägt numerische Verfahren vor, um diese zu lösen. Die Herausforderung liegt dabei in der numerischen Lösung des hochdimensionalen Optimierungsproblems. Dieses wird hier näherungsweise mit einer Kombination aus bekannten numerischen Verfahren für nicht-lineare Zielfunktionen und heuristischem Vorgehen gelöst. Des Weiteren werden für einige Spezialfälle andere zuverlässigere Verfahren vorgestellt.

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