Abstract
The need to define an appropriate ranking of several populations of interest, i.e. processes, products, and so on is very common within many areas of applied research such as Food Science, Chemistry, Engineering, Biomedicine, etc.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Arboretti Giancristofaro, R., Bonnini, S., Corain, L., Salmaso, L.: A permutation approach for ranking of multivariate populations. J. Multivar. Anal. 132, 39–57 (2014)
Bertoluzzo, F., Pesarin, F., Salmaso, L.: On multi-sided permutation tests. Commun. Stat. Simul. Comput. 42(6), 1380–1390 (2013)
Bro, R.: Multi-way Analysis in the Food Industry. Models, Algorithms, and Applications. 1998. Ph.D. thesis, University of Amsterdam (NL) & Royal Veterinary and Agricultural University (DK) (1998)
Bro, R., Qannari, El M., Kiers, H.A.L., Næs, T., Frøst M.B.: Multiway models for sensory profiling data. J. Chemom. 22, 36–45 (2008)
Corain, L., Salmaso, L.: Improving power of multivariate combination-based permutation tests. Stat. Comput. 25(2), 203–214 (2015)
Cortez, P., Cerdeira, A., Almeida, F., Matos, T., Reis, J.: Modeling wine preferences by data mining from physicochemical properties. Decis. Support Syst. 47(4), 547–553 (2009)
Gupta, S.S., Panchapakesan, S.: Multiple Decision Procedures: Theory and Methodology of Selecting and Ranking Populations. SIAM-Society for Industrial and Applied Mathematics, Philadelphia (2002)
Hall, P., Miller, H.: Using the bootstrap to quantify the authority of an empirical ranking. Ann. Stat. 37(6B), 3929–3959 (2009)
Meilgaard, M., Civille, G., Carr, B.: Sensory Evaluation Techniques, 4th edn. CRC Press, Boca Raton (2006)
Pesarin, F., Salmaso, L.: Permutation Tests for Complex Data: Theory, Applications and Software. Wiley, Chichester (2010)
Shaffer, J.P.: Modified sequentially rejective multiple test procedure. J. Am. Stat. Assoc. 81, 826–831 (1986)
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Arboretti, R. et al. (2018). Ranking Multivariate Populations. In: Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data. SpringerBriefs in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-91740-5_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-91740-5_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-91739-9
Online ISBN: 978-3-319-91740-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)