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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1995
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02608774_v25_n1_p73_Boente http://hdl.handle.net/20.500.12110/paper_02608774_v25_n1_p73_Boente |
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paper:paper_02608774_v25_n1_p73_Boente2023-06-08T15:22:24Z Multivariate statistical analysis of water sorption data of Argentine sorghum Boente, Graciela Lina Monserrat, José María Pollio, María Lucía Resnik, Silvia Liliana 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. 1995 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02608774_v25_n1_p73_Boente 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. |
author |
Boente, Graciela Lina Monserrat, José María Pollio, María Lucía Resnik, Silvia Liliana |
spellingShingle |
Boente, Graciela Lina Monserrat, José María Pollio, María Lucía Resnik, Silvia Liliana Multivariate statistical analysis of water sorption data of Argentine sorghum |
author_facet |
Boente, Graciela Lina Monserrat, José María Pollio, María Lucía Resnik, Silvia Liliana |
author_sort |
Boente, Graciela Lina |
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 |
publishDate |
1995 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_02608774_v25_n1_p73_Boente http://hdl.handle.net/20.500.12110/paper_02608774_v25_n1_p73_Boente |
work_keys_str_mv |
AT boentegracielalina multivariatestatisticalanalysisofwatersorptiondataofargentinesorghum AT monserratjosemaria multivariatestatisticalanalysisofwatersorptiondataofargentinesorghum AT polliomarialucia multivariatestatisticalanalysisofwatersorptiondataofargentinesorghum AT resniksilvialiliana multivariatestatisticalanalysisofwatersorptiondataofargentinesorghum |
_version_ |
1768543275518525440 |