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Eigenschaften von Kernschätzern

Part of the series: Statistische Datenanalyse (WS 2008/09)

Eigenschaften von Kernschätzern
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Prof. Dr. Hannelore Liero

Date:08.01.2009
Duration:01:29:04
Language:de

Description of the series:

Daten werden in allen Bereichen des gesellschaftlichen Lebens erfasst, seien es riesige Datenmengen, die sich in Medizin, Biologie, Bioinformatik, Finanzwesen, Marketing und Soziologie ergeben oder auch weniger umfangreiche Beobachtungen bei naturwissenschaftlichen Experimenten und technischen Qualitätstests. Die Aufgabe der Statistik ist "Learning from data". Dabei geht es darum, Methoden und Konzepte aufzuzeigen, wie man die Informationen, die in diesen Daten stecken, herausfiltert, wie man zugrundeliegende Strukturen erkennt und künftige Tendenzen vorhersagt. Ziel der Vorlesung ist es, ausgehend von ausgewählten Problemstellungen statistische Grundprinzipien zur Analyse von Daten zu vermitteln, um die in Literatur und Softwarepaketen enthaltenen statistischen Verfahren sinnvoll anzuwenden. Daten werden als Werte von zufälligen Größen betrachtet und die Gültigkeit der hergeleiteten Schlüsse wird durch die Angabe von Wahrscheinlich-keiten quantifiziert. Deshalb werden neben Methoden aus der Statistik auch wichtige Grundbegriffe aus der Wahrscheinlichkeitstheorie eingeführt. Folgende Themen werden behandelt:

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