Model selection based on penalized \(\phi \)-divergences for multinomial data

DOI10.1016/j.cam.2020.113181zbMath1503.62027OpenAlexW3085395364MaRDI QIDQ2059581

Francisca Jiménez-Jiménez, M. V. Alba-Fernández, M. Dolores Jiménez-Gamero

Publication date: 14 December 2021

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2020.113181

zbMATH Keywords

model selectionmultinomial dataminimum penalized \(\phi \)-divergence

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Asymptotic properties of parametric tests (62F05)

Related Items (2)

Choice between and within the classes of Poisson-Tweedie and Poisson-exponential-Tweedie count models ⋮ Equivalence tests for multinomial data based on \(\phi\)-divergences

Cites Work

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• Minimum distance estimators for count data based on the probability generating function with applications
• The Analysis of Categorical Data From Complex Sample Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables
• Fourier methods for model selection

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