Adaptative significance levels using optimal decision rules: balancing by weighting the error (2016)
Pericchi, Luis Raul; Pereira, Carlos Alberto de Bragança 
Source: Brazilian Journal of Probability and Statistics. Unidade: IME
Subjects: TESTES DE HIPÓTESES, INFERÊNCIA BAYESIANA
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ABNT
PERICCHI, Luis Raul e PEREIRA, Carlos Alberto de Bragança. Adaptative significance levels using optimal decision rules: balancing by weighting the error. Brazilian Journal of Probability and Statistics, v. 30, n. 1, p. 70-90, 2016Tradução . . Disponível em: https://doi.org/10.1214/14-BJPS257. Acesso em: 23 nov. 2025.APA
Pericchi, L. R., & Pereira, C. A. de B. (2016). Adaptative significance levels using optimal decision rules: balancing by weighting the error. Brazilian Journal of Probability and Statistics, 30( 1), 70-90. doi:10.1214/14-BJPS257NLM
Pericchi LR, Pereira CA de B. Adaptative significance levels using optimal decision rules: balancing by weighting the error [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 70-90.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1214/14-BJPS257Vancouver
Pericchi LR, Pereira CA de B. Adaptative significance levels using optimal decision rules: balancing by weighting the error [Internet]. Brazilian Journal of Probability and Statistics. 2016 ; 30( 1): 70-90.[citado 2025 nov. 23 ] Available from: https://doi.org/10.1214/14-BJPS257
