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  • Format: ePub

This book 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. The book introduces the main theoretical ideas of ranking multivariate populations as well as an in-depth literature review. It also discusses real case studies from four specific research areas and describes web-based software for solving these application problems.

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Produktbeschreibung
This book 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. The book introduces the main theoretical ideas of ranking multivariate populations as well as an in-depth literature review. It also discusses real case studies from four specific research areas and describes web-based software for solving these application problems.


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Autorenporträt
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.

Contributors
Luigi 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.