Model selection based on penalized ϕ -divergences for multinomial data
Authors:
- M.V. Alba-FernándezMAM.V. Alba-Fernández
- Jiménez- GameroJGJiménez- Gamero
- F. Jiménez-JiménezF. Jiménez-Jiménez
- 1 April 2022
- journal article
- research article
- Published by Elsevier in Journal of Computational and Applied Mathematics
- Vol. 404
Abstract
No abstract availableKeywords
Funding Information
- European Regional Development Fund
- Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España
- Ministerio de Economía y Competitividad (MTM2017-89422-P)
This publication has 15 references indexed in Scilit:
- Minimum $K_{\phi }$ K ϕ -divergence estimators for multinomial models and applicationsComputational Statistics, 2013
- Sustaining cooperation in laboratory public goods experiments: a selective survey of the literatureExperimental Economics, 2011
- Bootstrapping divergence statistics for testing homogeneity in multinomial populationsMathematics and Computers in Simulation, 2009
- Heterogeneous Agents in Public Goods ExperimentsExperimental Economics, 2005
- Asymptotic divergence of estimates of discrete distributionsJournal of Statistical Planning and Inference, 1995
- On disparity based goodness-of-fit tests for multinomial modelsStatistics & Probability Letters, 1994
- Minimum chi-square estimation and tests for model selectionJournal of Econometrics, 1993
- Likelihood Ratio Tests for Model Selection and Non-Nested HypothesesEconometrica, 1989
- The effect of social motives, communication and group size on behaviour in an N‐person multi‐stage mixed‐motive gameEuropean Journal of Social Psychology, 1984
- The Analysis of Categorical Data from Complex Sample Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way TablesJournal of the American Statistical Association, 1981