Source: The American Statistician. Unidade: IME
Assunto: TESTES DE HIPÓTESES
ABNT
GANNON, Mark Andrew e PEREIRA, Carlos Alberto de Bragança e POLPO, Adriano. Blending Bayesian and classical tools to define optimal sample-size-dependent significance levels. The American Statistician, v. 73, n. sup1, p. 213-222, 2019Tradução . . Disponível em: https://doi.org/10.1080/00031305.2018.1518268. Acesso em: 23 abr. 2026.APA
Gannon, M. A., Pereira, C. A. de B., & Polpo, A. (2019). Blending Bayesian and classical tools to define optimal sample-size-dependent significance levels. The American Statistician, 73( sup1), 213-222. doi:10.1080/00031305.2018.1518268NLM
Gannon MA, Pereira CA de B, Polpo A. Blending Bayesian and classical tools to define optimal sample-size-dependent significance levels [Internet]. The American Statistician. 2019 ; 73( sup1): 213-222.[citado 2026 abr. 23 ] Available from: https://doi.org/10.1080/00031305.2018.1518268Vancouver
Gannon MA, Pereira CA de B, Polpo A. Blending Bayesian and classical tools to define optimal sample-size-dependent significance levels [Internet]. The American Statistician. 2019 ; 73( sup1): 213-222.[citado 2026 abr. 23 ] Available from: https://doi.org/10.1080/00031305.2018.1518268
