Ranking of Multivariate Populations
A Permutation Approach with Applications
Ranking of Multivariate Populations: A Permutation Approach with Applications presents a novel permutation-based nonparametric approach for ranking several multivariate populations. Using data collected from both experimental and observation studies, it covers some of the most useful designs widely applied in research and industry investigations, such as multivariate analysis of variance (MANOVA) and multivariate randomized complete block (MRCB) designs. The first section of the book introduces the topic of ranking multivariate populations by presenting the main theoretical ideas and an in-depth literature review. The second section discusses…
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Produktdetails
Weitere Autoren: Arboretti, Rosa / Bonnini, Stefano
- ISBN: 978-1-315-36283-0
- EAN: 9781315362830
- Produktnummer: 24244681
- Verlag: Taylor & Francis Ltd.
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 342 S.
- Plattform: PDF
- Masse: 17'928 KB
- Abbildungen: 76 line equations; 563 total equations, 84 schwarz-weiße Abbildungen, 91 schwarz-weiße Tabellen
Über den Autor
AuthorsLivio Corain, PhD, is an assistant professor of statistics in the Department of Management and Engineering at the University of Padua.Rosa Arboretti, PhD, is an assistant professor of statistics in the Department of Civil, Environmental and Architectural Engineering at the University of Padua.Stefano Bonnini, PhD, is an assistant professor of statistics in the Department of Economics and Management at the University of Ferrara.ContributorsLuigi Salmaso, PhD, is a full professor of statistics in the Department of Management and Engineering at the University of Padua.Eleonora Carrozzo is a PhD student in managerial engineering in the Department of Management and Engineering at the University of Padua.
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