The Use Of Statistical Software In Food Science And Technology: Advantages, Limitations And Misuses

dc.creatorNunes
dc.creatorCleiton Antonio; Alvarenga
dc.creatorVeronica Ortiz; Sant'Ana
dc.creatorAnderson de Souza; Santos
dc.creatorJanio Sousa; Granato
dc.creatorDaniel
dc.date2015-SEP
dc.date2016-06-07T13:21:02Z
dc.date2016-06-07T13:21:02Z
dc.date.accessioned2018-03-29T01:40:57Z
dc.date.available2018-03-29T01:40:57Z
dc.identifier
dc.identifierThe Use Of Statistical Software In Food Science And Technology: Advantages, Limitations And Misuses. Elsevier Science Bv, v. 75, p. 270-280 SEP-2015.
dc.identifier0963-9969
dc.identifierWOS:000359961800032
dc.identifier10.1016/j.foodres.2015.06.011
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0963996915300557
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/243007
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1306705
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionStrict requirements of scientific journals allied to the need to prove the experimental data are (in)significant from the statistical standpoint have led to a steep increase in the use and development of statistical software. In this aspect, it is observed that the increasing number of software tools and packages and their wide usage has created a generation of 'click and go' users, who are eagerly destined to obtain the p-values and multivariate graphs (projection of samples and variables on the factor plane), but have no idea on how the statistical parameters are calculated and the theoretical and practical reasons he/she performed such tests. However, in this paper, some published examples are listed and discussed in detail to provide a holistic insight (positive points and limitations) about the uses and misuses of some statistical methods using different available statistical software. Additionally, a brief description of several commercial and free statistical software is made highlighting their advantages and limitations. (C) 2015 Elsevier Ltd. All rights reserved.
dc.description75
dc.description
dc.description
dc.description270
dc.description280
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description
dc.description
dc.description
dc.languageen
dc.publisherELSEVIER SCIENCE BV
dc.publisher
dc.publisherAMSTERDAM
dc.relationFOOD RESEARCH INTERNATIONAL
dc.rightsembargo
dc.sourceWOS
dc.subjectResponse-surface Methodology
dc.subjectPrincipal Component Analysis
dc.subjectGrowth-rate
dc.subjectChemical-composition
dc.subjectMicrobial-growth
dc.subjectFatty-acid
dc.subjectLag Time
dc.subjectChemometrics
dc.subjectQuality
dc.subjectFruit
dc.titleThe Use Of Statistical Software In Food Science And Technology: Advantages, Limitations And Misuses
dc.typeArtículos de revistas


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