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Journal of Statistical Computation and Simulation Volume 92, 2022 - Issue 5
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Research Article

New Bayesian approaches to equivalence testing

Josimara Tatiane da Silvaa Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil;b Statistics Department, Federal University of Sao Carlos, São Carlos, BrazilCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-5888-2120View further author information
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Juliana Cobrea Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, BrazilORCID Iconhttps://orcid.org/0000-0002-3250-337XView further author information
ORCID Icon &
Mário de Castroa Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, BrazilORCID Iconhttps://orcid.org/0000-0001-8685-9470View further author information
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Pages 957-973 | Received 07 May 2021, Accepted 12 Sep 2021, Published online: 28 Sep 2021

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Josimara Tatiane da Silva & Mário de Castro. A Bayesian robustness measure in significance tests for equivalence tests. Communications in Statistics - Theory and Methods 0:0, pages 1-18.
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Articles from other publishers (1)

Peiran Liu, Ming‐Hui Chen, Susie Sinks & Peng Sun. (2024) Are the tests overpowered or underpowered? A unified solution to correctly specify type I errors in design of clinical trials for two sample proportions. Statistics in Medicine 43:9, pages 1688-1707.
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