On the nuisance parameter elimination principle in hypothesis testing (2024)
- Authors:
- USP affiliated authors: ESTEVES, LUÍS GUSTAVO - IME ; FOSSALUZA, VICTOR - IME ; PEREIRA, CARLOS ALBERTO DE BRAGANCA - IME ; RIVERA, ANDRÉS FELIPE FLÓREZ - FSP
- Unidades: IME; FSP
- DOI: 10.3390/e26020117
- Assunto: ESTATÍSTICA APLICADA
- Keywords: p-values; Bayes factor; likelihood function; hypothesis testing
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FLÓREZ RIVERA, Andrés Felipe et al. On the nuisance parameter elimination principle in hypothesis testing. Entropy, v. 26, n. artigo 117, p. 1-24, 2024Tradução . . Disponível em: https://doi.org/10.3390/e26020117. Acesso em: 21 fev. 2026. -
APA
Flórez Rivera, A. F., Esteves, L. G., Fossaluza, V., & Pereira, C. A. de B. (2024). On the nuisance parameter elimination principle in hypothesis testing. Entropy, 26( artigo 117), 1-24. doi:10.3390/e26020117 -
NLM
Flórez Rivera AF, Esteves LG, Fossaluza V, Pereira CA de B. On the nuisance parameter elimination principle in hypothesis testing [Internet]. Entropy. 2024 ; 26( artigo 117): 1-24.[citado 2026 fev. 21 ] Available from: https://doi.org/10.3390/e26020117 -
Vancouver
Flórez Rivera AF, Esteves LG, Fossaluza V, Pereira CA de B. On the nuisance parameter elimination principle in hypothesis testing [Internet]. Entropy. 2024 ; 26( artigo 117): 1-24.[citado 2026 fev. 21 ] Available from: https://doi.org/10.3390/e26020117 - Hypothesis tests for Bernoulli experiments: ordering the sample space by Bayes factors and using adaptive significance levels for decisions
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Informações sobre o DOI: 10.3390/e26020117 (Fonte: oaDOI API)
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