Source: Journal of Statistical Theory and Practice. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA
ABNT
WU, Jing et al. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood. Journal of Statistical Theory and Practice, v. 12, n. 1, p. 23-41, 2018Tradução . . Disponível em: https://doi.org/10.1080/15598608.2017.1299058. Acesso em: 31 out. 2024.APA
Wu, J., Castro, M. de, Elizabeth D. Schifano,, & Chen, M. -H. (2018). Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood. Journal of Statistical Theory and Practice, 12( 1), 23-41. doi:10.1080/15598608.2017.1299058NLM
Wu J, Castro M de, Elizabeth D. Schifano, Chen M-H. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 1): 23-41.[citado 2024 out. 31 ] Available from: https://doi.org/10.1080/15598608.2017.1299058Vancouver
Wu J, Castro M de, Elizabeth D. Schifano, Chen M-H. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 1): 23-41.[citado 2024 out. 31 ] Available from: https://doi.org/10.1080/15598608.2017.1299058