Source: Pakistan Journal of Statistics and Operation Research. Unidade: FMRP
Subjects: ESTUDOS ECOLÓGICOS, EPIDEMIOLOGIA, INFERÊNCIA ESTATÍSTICA, PROCESSOS ESTOCÁSTICOS
ABNT
MARTINEZ, Edson Zangiacomi et al. Bayesian bivariate spatial shared component model: mapping breast and cervical cancer mortality in Southern Brazil. Pakistan Journal of Statistics and Operation Research, v. 18, n. 4, p. 775-788, 2022Tradução . . Disponível em: https://doi.org/10.18187/pjsor.v18i4.4095. Acesso em: 18 ago. 2024.APA
Martinez, E. Z., Silva, D. G., Resende, L. I., Lizzi, E. A. da S., & Achcar, J. A. (2022). Bayesian bivariate spatial shared component model: mapping breast and cervical cancer mortality in Southern Brazil. Pakistan Journal of Statistics and Operation Research, 18( 4), 775-788. doi:10.18187/pjsor.v18i4.4095NLM
Martinez EZ, Silva DG, Resende LI, Lizzi EA da S, Achcar JA. Bayesian bivariate spatial shared component model: mapping breast and cervical cancer mortality in Southern Brazil [Internet]. Pakistan Journal of Statistics and Operation Research. 2022 ; 18( 4): 775-788.[citado 2024 ago. 18 ] Available from: https://doi.org/10.18187/pjsor.v18i4.4095Vancouver
Martinez EZ, Silva DG, Resende LI, Lizzi EA da S, Achcar JA. Bayesian bivariate spatial shared component model: mapping breast and cervical cancer mortality in Southern Brazil [Internet]. Pakistan Journal of Statistics and Operation Research. 2022 ; 18( 4): 775-788.[citado 2024 ago. 18 ] Available from: https://doi.org/10.18187/pjsor.v18i4.4095