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Intervalldaten und generalisierte lineare Modelle

Intervalldaten und generalisierte lineare Modelle

Brand
Springer Nature
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N/A
Part Number
0
GTIN
9783658087463
Condition
New
Product Description

Da eine direkte przise Schtzung von Parametern mit Intervalldaten in generalisierten linearen Modellen nicht mglich ist, formuliert Michael Seitz die Intervallschtzungen der Parameter als Optimierungsproblem und schlgt numerische Verfahren vor, um diese zu lsen. Die Herausforderung liegt dabei in der numerischen Lsung des hochdimensionalen Optimierungsproblems. Dieses wird hier nherungsweise mit einer Kombination aus bekannten numerischen Verfahren fr nicht-lineare Zielfunktionen und heuristischem Vorgehen gelst. Des Weiteren werden fr einige Spezialflle andere zuverlssigere Verfahren vorgestellt.

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