Principal component analysis applied to multidimensional social indicators longitudinal studies: limitations and possibilities

Author:

Libório Matheus PereiraORCID,da Silva Martinuci OseiasORCID,Machado Alexei Manso CorreaORCID,Machado-Coelho Thiago MeloORCID,Laudares SandroORCID,Bernardes PatríciaORCID

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development

Reference68 articles.

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2. Abello, A., Cassells, R., Daly, A., D’Souza, G., & Miranti, R. (2016). Youth social exclusion in Australian communities: A new index. Social Indicators Research, 128(2), 635–660.

3. Afonso, A. M., Guerra, R., Cavaco, A. M., Pinto, P., Andrade, A., Duarte, A., & Marques, N. T. (2017). Identification of asymptomatic plants infected with Citrus tristeza virus from a time series of leaf spectral characteristics. Computers and Electronics in Agriculture, 141, 340–350. https://doi.org/10.1016/j.compag.2017.08.001.

4. Alencar, B. J., Barroso, L. C., Abreu, J. F. (2014). Análise de componentes principais aplicada ao tratamento de dados espaciais. In: Décima Tercera Conferência Iberoamericana en Sistemas, Cibernética e Informática-CISCI 2014, 2014, Orlando-Florida-EUA. MEMORIAS. Orlando-Florida-EUA: International institute of informatics and systemics, 2014. v. ÚNIICO. p. 225–230.

5. Bartlett, M. S. (1937). Properties of sufficiency and statistical tests. Proceedings of the Royal Society of London. Series A-Mathematical and Physical Sciences, 160(901), 268–282.

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