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Fundamental Statistical Inference Computational by Paolella Marc (17 results)
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Fundamental Statistical Inference : A Computational Approach
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Fundamental Statistical Inference : A Computational Approach
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Fundamental Statistical Inference: A Computational Approach (Wiley Series in Probability and Statistics)
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Fundamental Statistical Inference: A Computational Approach (Wiley Series in Probability and Statistics)
Published by Wiley-Blackwell 2018-08-24, 2018
ISBN 10: 1119417864 ISBN 13: 9781119417866
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Fundamental Statistical Inference: A Computational Approach
Published by John Wiley and Sons Ltd, 2018
ISBN 10: 1119417864 ISBN 13: 9781119417866
Language: English
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Fundamental Statistical Inference: A Computational Approach
Published by John Wiley & Sons Inc, 2018
ISBN 10: 1119417864 ISBN 13: 9781119417866
Language: English
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Fundamental Statistical Inference: A Computational Approach
Published by John Wiley & Sons Inc, 2018
ISBN 10: 1119417864 ISBN 13: 9781119417866
Language: English
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Fundamental Statistical Inference A Computational Approach
Published by John Wiley & Sons Inc, 2018
ISBN 10: 1119417864 ISBN 13: 9781119417866
Language: English
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Add to basketHardcover. Condition: Brand New. 564 pages. 10.00x7.00x1.00 inches. In Stock.
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Add to basketBuch. Condition: Neu. Neuware - Praxisorientiertes Fachbuch der Interferenzstatistik mit den neuesten Entwicklungen aus diesem ständig wachsenden Wissensgebiet.Dieses übersichtlich und zugängliche Fachbuch richtet sich an Studenten höherer Semester, präsentiert die Interferenzstatistik ausführlich und praxisorientiert und stellt Ergebnisableitungen sowie MATLAB-Programme umfassend dar, ergänzt um Erläuterungen. Besonderes Augenmerk liegt auf einzelnen bedeutenden Aspekten, auf einer intuitiven Herangehensweise und auf Diskussionen. Der Blick auf die Interferenzstatistik ist dabei überaus modern. Inhalte neben den klassischen Themen rund um die mathematische Statistik: intuitive Präsentation von Einfach-/Doppel-Bootstraps bei der Berechnung von Konfidenzintervallen, Schrumpfungsschätzung, Schätzung des maximalen Moments sowie eine Vielzahl vom Methoden der Punktschätzung, maximale Wahrscheinlichkeit, Anwendung von charakteristischen Funktionen und indirekte Interferenz. Zu allen Methoden gibt es praktische Beispiele. Ausführlich behandelt werden Schätzprobleme und deren Lösung in Verbindung mit der diskreten Mischung bei Normalverteilungen. Durchgängig liegt der Schwerpunkt auf nicht-Gaußschen Verteilungen, einschließlich der ausführlichen Behandlung der stabilen Pareto-Verteilung und der schnellen Berechnung von nicht-zentralen Student-t-Tests. Ein komplettes Kapitel widmet sich der Optimierung, darunter der Entwicklung von Hessian-Methoden, heuristische/genetische Algorithmen, die keine Kontinuität erfordern. Die entsprechenden MATLAB-Codes werden zur Verfügung gestellt. Der Fokus liegt auch auf Berechnungen, die das Thema greifbar und für die Studierenden zugänglich machen.
