On dealing with the unknown population minimum in parametric inference (2022)
Source: Advances in Statistical Analysis. Unidades: ICMC, INTER: ICMC -UFSCAR
Subjects: SIMULAÇÃO, VEROSSIMILHANÇA, INFERÊNCIA PARAMÉTRICA
ABNT
SALDANHA, Matheus Henrique Junqueira e SUZUKI, Adriano Kamimura. On dealing with the unknown population minimum in parametric inference. Advances in Statistical Analysis, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10182-022-00445-9. Acesso em: 30 nov. 2023.APA
Saldanha, M. H. J., & Suzuki, A. K. (2022). On dealing with the unknown population minimum in parametric inference. Advances in Statistical Analysis. doi:10.1007/s10182-022-00445-9NLM
Saldanha MHJ, Suzuki AK. On dealing with the unknown population minimum in parametric inference [Internet]. Advances in Statistical Analysis. 2022 ;[citado 2023 nov. 30 ] Available from: https://doi.org/10.1007/s10182-022-00445-9Vancouver
Saldanha MHJ, Suzuki AK. On dealing with the unknown population minimum in parametric inference [Internet]. Advances in Statistical Analysis. 2022 ;[citado 2023 nov. 30 ] Available from: https://doi.org/10.1007/s10182-022-00445-9