Source: Biomedical Science and Clinical Research. Unidade: FMRP
Subjects: MUDANÇA CLIMÁTICA, REGRESSÃO LINEAR, PRECIPITAÇÃO ATMOSFÉRICA
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ABNT
BARILI, Emerson e ACHCAR, Jorge Alberto. Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world. Biomedical Science and Clinical Research, v. 2, n. 1, p. 149-158, 2023Tradução . . Disponível em: https://doi.org/10.33140/BSCR. Acesso em: 27 set. 2024.APA
Barili, E., & Achcar, J. A. (2023). Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world. Biomedical Science and Clinical Research, 2( 1), 149-158. doi:10.33140/BSCRNLM
Barili E, Achcar JA. Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world [Internet]. Biomedical Science and Clinical Research. 2023 ; 2( 1): 149-158.[citado 2024 set. 27 ] Available from: https://doi.org/10.33140/BSCRVancouver
Barili E, Achcar JA. Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world [Internet]. Biomedical Science and Clinical Research. 2023 ; 2( 1): 149-158.[citado 2024 set. 27 ] Available from: https://doi.org/10.33140/BSCR
