Source: PLOS ONE. Unidade: ICMC
Subjects: UMIDADE ATMOSFÉRICA, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, SAZONALIDADE, CHILE
ABNT
FERREIRA, Paulo Henrique et al. Unraveling water monitoring association towards weather attributes for response proportions data: a unit-Lindley learning. PLOS ONE, v. 17, n. 10, p. 1-18, 2022Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0275841. Acesso em: 05 out. 2024.APA
Ferreira, P. H., Fonseca, A. O., Nascimento, D. C. do, Bonnail, E., & Louzada, F. (2022). Unraveling water monitoring association towards weather attributes for response proportions data: a unit-Lindley learning. PLOS ONE, 17( 10), 1-18. doi:10.1371/journal.pone.0275841NLM
Ferreira PH, Fonseca AO, Nascimento DC do, Bonnail E, Louzada F. Unraveling water monitoring association towards weather attributes for response proportions data: a unit-Lindley learning [Internet]. PLOS ONE. 2022 ; 17( 10): 1-18.[citado 2024 out. 05 ] Available from: https://doi.org/10.1371/journal.pone.0275841Vancouver
Ferreira PH, Fonseca AO, Nascimento DC do, Bonnail E, Louzada F. Unraveling water monitoring association towards weather attributes for response proportions data: a unit-Lindley learning [Internet]. PLOS ONE. 2022 ; 17( 10): 1-18.[citado 2024 out. 05 ] Available from: https://doi.org/10.1371/journal.pone.0275841