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

Alexandre Patriota; Andrey Bezerra Sarmento

doi:10.60923/issn.1973-2201/22027

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

Authors

Alexandre Patriota University of São Paulo

Department of Statistics
Andrey Bezerra Sarmento University of São Paulo

Department of Statistics

DOI:

https://doi.org/10.60923/issn.1973-2201/22027

References

L. DÜMBGEN, L. DAVIES (2024). Connecting model-based and model-free approaches to linear least squares regression. Statistica, 84, no. 2, pp. 65–81.

A. PATRIOTA (2013). A classical measure of evidence for general null hypotheses. Fuzzy Sets and Systems, 233, pp. 74–88.

A. PATRIOTA (2017). On some assumptions of the null hypothesis statistical testing. Educational and Psychological Measurement, 77, pp. 507–528.

A. PATRIOTA, J. ALVES (2021). A monotone frequentist measure of evidence for testing variance components in linear mixed models. Journal of Statistical Planning and Inference, 219, pp. 43–62.

M. SCHERVISH (1996). P values: what they are and what they are not. The American Statistician, 50, pp. 203–296.

Downloads

Published

2025-11-25

How to Cite

Patriota, A., & 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. https://doi.org/10.60923/issn.1973-2201/22027