The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence: an application to the average intelligence and atheism rates across nations data (2012)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- Subjects: INFERÊNCIA BAYESIANA; ESTATÍSTICA APLICADA; INFERÊNCIA ESTATÍSTICA
- Language: Inglês
- Imprenta:
- Publisher place: New York, NY
- Date published: 2012
- Source:
- Título: Journal of Data Science
- ISSN: 1680-743X
- Volume/Número/Paginação/Ano: v. 10, n. 4, p. 711-722, 2012
-
ABNT
MARCHI, Vitor A. A. e ROJAS, Francisco A. R. e LOUZADA, Francisco. The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence: an application to the average intelligence and atheism rates across nations data. Journal of Data Science, v. 10, n. 4, p. 711-722, 2012Tradução . . Disponível em: http://www.jds-online.com/volume-10-number-4-october-2012. Acesso em: 16 out. 2024. -
APA
Marchi, V. A. A., Rojas, F. A. R., & Louzada, F. (2012). The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence: an application to the average intelligence and atheism rates across nations data. Journal of Data Science, 10( 4), 711-722. Recuperado de http://www.jds-online.com/volume-10-number-4-october-2012 -
NLM
Marchi VAA, Rojas FAR, Louzada F. The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence: an application to the average intelligence and atheism rates across nations data [Internet]. Journal of Data Science. 2012 ; 10( 4): 711-722.[citado 2024 out. 16 ] Available from: http://www.jds-online.com/volume-10-number-4-october-2012 -
Vancouver
Marchi VAA, Rojas FAR, Louzada F. The chi-plot and its asymptotic confidence interval for analyzing bivariate dependence: an application to the average intelligence and atheism rates across nations data [Internet]. Journal of Data Science. 2012 ; 10( 4): 711-722.[citado 2024 out. 16 ] Available from: http://www.jds-online.com/volume-10-number-4-october-2012 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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