ANÁLISE MULTIVARIADA DO SETOR SUPERMERCADISTA A PARTIR DOS DADOS DO RANKING ABRAS DO ESTADO DE SÃO PAULO (2010)

IF 0.1 Q4 SOCIAL SCIENCES, INTERDISCIPLINARY Revista Cientifica Hermes Pub Date : 2014-06-10 DOI:10.21710/RCH.V10I0.126
Paulo Rogério Alves Brene, U. A. S. Filho, Rodrigo Mariano, R. Rangel
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引用次数: 0

Abstract

The objective of this paper is to propose a methodology to illustrate the applicability and importance of multivariate analysis. To do that, it is used the data set presented on ABRAS of São Paulo for the year 2010. Thus, new indicators were developed with the aid of factor analysis (FA), 14 condensed information extracted from ABRAS on 2 factors: Size and Efficiency. As a result, it was observed that the application of AF was successful because it reduced the number of variables without losing much information, as well as showing consistency in this grouping beyond the grouping of variables. Finally, there is a direct relationship between billing classification and classification by revenue size (Spearman
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基于sao PAULO州ABRAS排名数据的超市行业多元分析(2010)
本文的目的是提出一种方法来说明多元分析的适用性和重要性。为了做到这一点,它使用了2010年圣保罗的ABRAS提供的数据集。在此基础上,利用因子分析(FA)建立了新的指标,将ABRAS中提取的信息浓缩在规模和效率两个因子上。结果,观察到AF的应用是成功的,因为它减少了变量的数量而没有丢失太多的信息,并且在这个分组中显示出超出变量分组的一致性。最后,计费分类和按收入大小分类之间存在直接关系
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来源期刊
Revista Cientifica Hermes
Revista Cientifica Hermes SOCIAL SCIENCES, INTERDISCIPLINARY-
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发文量
8
审稿时长
38 weeks
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