Source: Journal of Applied Statistics. Unidade: ESALQ
Subjects: ADMINISTRAÇÃO DE RISCO, DISTRIBUIÇÕES (PROBABILIDADE), MODELOS MATEMÁTICOS, SEGURO AGRÍCOLA, SOJA
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DUARTE, Gislaine V et al. Modeling of soybean yield using symmetric, asymmetric and bimodal distributions: implications for crop insurance. Journal of Applied Statistics, v. 45, n. 11, p. 1920-1937, 2018Tradução . . Disponível em: https://doi.org/10.1080/02664763.2017.1406902. Acesso em: 31 out. 2024.APA
Duarte, G. V., Braga, A., Miquelluti, D. L., & Ozaki, V. A. (2018). Modeling of soybean yield using symmetric, asymmetric and bimodal distributions: implications for crop insurance. Journal of Applied Statistics, 45( 11), 1920-1937. doi:10.1080/02664763.2017.1406902NLM
Duarte GV, Braga A, Miquelluti DL, Ozaki VA. Modeling of soybean yield using symmetric, asymmetric and bimodal distributions: implications for crop insurance [Internet]. Journal of Applied Statistics. 2018 ; 45( 11): 1920-1937.[citado 2024 out. 31 ] Available from: https://doi.org/10.1080/02664763.2017.1406902Vancouver
Duarte GV, Braga A, Miquelluti DL, Ozaki VA. Modeling of soybean yield using symmetric, asymmetric and bimodal distributions: implications for crop insurance [Internet]. Journal of Applied Statistics. 2018 ; 45( 11): 1920-1937.[citado 2024 out. 31 ] Available from: https://doi.org/10.1080/02664763.2017.1406902
