Multivariate statistical analysis of water sorption data of Argentine sorghum

Instead of using a factorial design for studying water sorption characteristics and its assumption of homogeneity of variances among cells, a multivariate statistical analysis approach is presented. This considers interactions and heterogeneous variances and leads to simultaneous comparisons of all...

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Autores principales: Boente, G., Larumbe, A., Monserrat, J., Pollio, M.L., Resnik, S., Sanmartino, S.
Formato: JOUR
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_02608774_v25_n1_p73_Boente
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spelling todo:paper_02608774_v25_n1_p73_Boente2023-10-03T15:12:03Z Multivariate statistical analysis of water sorption data of Argentine sorghum Boente, G. Larumbe, A. Monserrat, J. Pollio, M.L. Resnik, S. Sanmartino, S. Instead of using a factorial design for studying water sorption characteristics and its assumption of homogeneity of variances among cells, a multivariate statistical analysis approach is presented. This considers interactions and heterogeneous variances and leads to simultaneous comparisons of all aw levels. By applying this approach to a study of the water sorption characteristics of Argentine sorghum, significant differences were obtained between hybrids with the conclusion that they should not be mixed in storage. Confidence intervals were presented which will be of use both in predicting storage behavior and in comparing results from different researchers. © 1995. Fil:Boente, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Monserrat, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Pollio, M.L. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Resnik, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_02608774_v25_n1_p73_Boente
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
description Instead of using a factorial design for studying water sorption characteristics and its assumption of homogeneity of variances among cells, a multivariate statistical analysis approach is presented. This considers interactions and heterogeneous variances and leads to simultaneous comparisons of all aw levels. By applying this approach to a study of the water sorption characteristics of Argentine sorghum, significant differences were obtained between hybrids with the conclusion that they should not be mixed in storage. Confidence intervals were presented which will be of use both in predicting storage behavior and in comparing results from different researchers. © 1995.
format JOUR
author Boente, G.
Larumbe, A.
Monserrat, J.
Pollio, M.L.
Resnik, S.
Sanmartino, S.
spellingShingle Boente, G.
Larumbe, A.
Monserrat, J.
Pollio, M.L.
Resnik, S.
Sanmartino, S.
Multivariate statistical analysis of water sorption data of Argentine sorghum
author_facet Boente, G.
Larumbe, A.
Monserrat, J.
Pollio, M.L.
Resnik, S.
Sanmartino, S.
author_sort Boente, G.
title Multivariate statistical analysis of water sorption data of Argentine sorghum
title_short Multivariate statistical analysis of water sorption data of Argentine sorghum
title_full Multivariate statistical analysis of water sorption data of Argentine sorghum
title_fullStr Multivariate statistical analysis of water sorption data of Argentine sorghum
title_full_unstemmed Multivariate statistical analysis of water sorption data of Argentine sorghum
title_sort multivariate statistical analysis of water sorption data of argentine sorghum
url http://hdl.handle.net/20.500.12110/paper_02608774_v25_n1_p73_Boente
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