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dc.contributor.editorValim de Freitas, Leandro
dc.contributor.editorPaula Barbosa Rodrigues de Freitas, Ana
dc.date.accessioned2021-04-20T15:40:57Z
dc.date.available2021-04-20T15:40:57Z
dc.date.issued2013
dc.identifierONIX_20210420_9789535109211_1712
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/66354
dc.description.abstractRecently statistical knowledge has become an important requirement and occupies a prominent position in the exercise of various professions. In the real world, the processes have a large volume of data and are naturally multivariate and as such, require a proper treatment. For these conditions it is difficult or practically impossible to use methods of univariate statistics. The wide application of multivariate techniques and the need to spread them more fully in the academic and the business justify the creation of this book. The objective is to demonstrate interdisciplinary applications to identify patterns, trends, association sand dependencies, in the areas of Management, Engineering and Sciences. The book is addressed to both practicing professionals and researchers in the field.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniquesen_US
dc.subject.otherManagement & management techniques
dc.titleMultivariate Analysis in Management, Engineering and the Sciences
dc.typebook
oapen.identifier.doi10.5772/3301
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9789535109211
oapen.relation.isbn9789535162865
oapen.imprintIntechOpen
oapen.pages266


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