Source: Statistica. Unidade: IME
Assunto: ESTATÍSTICA
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ABNT
PATRIOTA, Alexandre Galvão e SARMENTO, Andrey Bezerra. Discussion of the paper "Connecting model-based and model-free approaches to linear least squares regression by Lutz Dümbgen and Laurie Davies (2024): the monotonicity problem". Statistica, v. 84, n. 2, p. 109-111, 2024Tradução . . Disponível em: https://doi.org/10.60923/issn.1973-2201/22027. Acesso em: 09 fev. 2026.APA
Patriota, A. G., & Sarmento, A. B. (2024). Discussion of the paper "Connecting model-based and model-free approaches to linear least squares regression by Lutz Dümbgen and Laurie Davies (2024): the monotonicity problem". Statistica, 84( 2), 109-111. doi:10.60923/issn.1973-2201/22027NLM
Patriota AG, Sarmento AB. Discussion of the paper "Connecting model-based and model-free approaches to linear least squares regression by Lutz Dümbgen and Laurie Davies (2024): the monotonicity problem" [Internet]. Statistica. 2024 ; 84( 2): 109-111.[citado 2026 fev. 09 ] Available from: https://doi.org/10.60923/issn.1973-2201/22027Vancouver
Patriota AG, Sarmento AB. Discussion of the paper "Connecting model-based and model-free approaches to linear least squares regression by Lutz Dümbgen and Laurie Davies (2024): the monotonicity problem" [Internet]. Statistica. 2024 ; 84( 2): 109-111.[citado 2026 fev. 09 ] Available from: https://doi.org/10.60923/issn.1973-2201/22027
