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Filtros : "REGRESSÃO LINEAR" "2019" "Financiamento CAPES" Removidos: "Indexado no ISI Web of Knowledge" "FM-MCM" Limpar

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  • Artigo de periodico

    Using spatial information for evaluating the quality of prediction maps from hyperspectral images: A geostatistical approach (2019)

    Herrero-Langreo, Ana; Gorretta, Nathalie; Tisseyre, Bruno; Gowen, Aoife; Xu, Jun-Li; Chaix, Gilles Christophe ; Roger, Jean-Michel

    Source: Analytica Chimica Acta. Unidade: ESALQ

    Subjects: ESPECTROSCOPIA, GEOESTATÍSTICA, IMAGEM, MAPAS, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR

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    • ABNT

      HERRERO-LANGREO, Ana et al. Using spatial information for evaluating the quality of prediction maps from hyperspectral images: A geostatistical approach. Analytica Chimica Acta, v. 1077, p. 1-13, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.aca.2019.05.067. Acesso em: 28 set. 2024.

    • APA

      Herrero-Langreo, A., Gorretta, N., Tisseyre, B., Gowen, A., Xu, J. -L., Chaix, G. C., & Roger, J. -M. (2019). Using spatial information for evaluating the quality of prediction maps from hyperspectral images: A geostatistical approach. Analytica Chimica Acta, 1077, 1-13. doi:10.1016/j.aca.2019.05.067

    • NLM

      Herrero-Langreo A, Gorretta N, Tisseyre B, Gowen A, Xu J-L, Chaix GC, Roger J-M. Using spatial information for evaluating the quality of prediction maps from hyperspectral images: A geostatistical approach [Internet]. Analytica Chimica Acta. 2019 ; 1077 1-13.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/j.aca.2019.05.067

    • Vancouver

      Herrero-Langreo A, Gorretta N, Tisseyre B, Gowen A, Xu J-L, Chaix GC, Roger J-M. Using spatial information for evaluating the quality of prediction maps from hyperspectral images: A geostatistical approach [Internet]. Analytica Chimica Acta. 2019 ; 1077 1-13.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/j.aca.2019.05.067

  • Artigo de periodico

    Linear regression models using finite mixtures of skew heavy-tailed distributions (2019)

    Benites, Luis ; Maehara, Rocío ; Lachos, Victor Hugo ; Bolfarine, Heleno

    Source: Chilean Journal of Statistics. Unidade: IME

    Subjects: REGRESSÃO LINEAR, DISTRIBUIÇÃO NORMAL

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    • ABNT

      BENITES, Luis et al. Linear regression models using finite mixtures of skew heavy-tailed distributions. Chilean Journal of Statistics, v. 10, n. 1, p. 21-41 , 2019Tradução . . Disponível em: http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf. Acesso em: 28 set. 2024.

    • APA

      Benites, L., Maehara, R., Lachos, V. H., & Bolfarine, H. (2019). Linear regression models using finite mixtures of skew heavy-tailed distributions. Chilean Journal of Statistics, 10( 1), 21-41 . Recuperado de http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf

    • NLM

      Benites L, Maehara R, Lachos VH, Bolfarine H. Linear regression models using finite mixtures of skew heavy-tailed distributions [Internet]. Chilean Journal of Statistics. 2019 ; 10( 1): 21-41 .[citado 2024 set. 28 ] Available from: http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf

    • Vancouver

      Benites L, Maehara R, Lachos VH, Bolfarine H. Linear regression models using finite mixtures of skew heavy-tailed distributions [Internet]. Chilean Journal of Statistics. 2019 ; 10( 1): 21-41 .[citado 2024 set. 28 ] Available from: http://soche.cl/chjs/volumes/10/ChJS-10-01-02.pdf
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