Source: Brazilian Journal of Biometrics. Unidades: ESALQ, FZEA
Subjects: ANÁLISE DE DADOS LONGITUDINAIS, BEZERROS, GADO HOLANDÊS, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR
ABNT
OLIVEIRA, Allison Queiroz de et al. Linear mixed-effects models and least confounded residuals in the modelling of Holstein calves’ performance. Brazilian Journal of Biometrics, v. 42, p. 103-118, 2024Tradução . . Disponível em: https://doi.org/10.28951/bjb.v42i2.681. Acesso em: 16 nov. 2024.APA
Oliveira, A. Q. de, Poczynek, M., Bittar, C. M. M., & Lima, C. G. de. (2024). Linear mixed-effects models and least confounded residuals in the modelling of Holstein calves’ performance. Brazilian Journal of Biometrics, 42, 103-118. doi:10.28951/bjb.v42i2.681NLM
Oliveira AQ de, Poczynek M, Bittar CMM, Lima CG de. Linear mixed-effects models and least confounded residuals in the modelling of Holstein calves’ performance [Internet]. Brazilian Journal of Biometrics. 2024 ; 42 103-118.[citado 2024 nov. 16 ] Available from: https://doi.org/10.28951/bjb.v42i2.681Vancouver
Oliveira AQ de, Poczynek M, Bittar CMM, Lima CG de. Linear mixed-effects models and least confounded residuals in the modelling of Holstein calves’ performance [Internet]. Brazilian Journal of Biometrics. 2024 ; 42 103-118.[citado 2024 nov. 16 ] Available from: https://doi.org/10.28951/bjb.v42i2.681