On the performance ofL2Eestimation in modelling heterogeneous count responses with extreme values

DOI10.1080/00949655.2012.719290zbMath1453.62131OpenAlexW1993712069MaRDI QIDQ5219282

T. N. Sriram, Jaejun Lee

Publication date: 9 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.719290

zbMATH Keywords

robustnessextreme valuesfinite mixture of regression modelslength of stay\(L_2 E\)

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

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• \(L_{2}E\) estimation of mixture complexity for count data
• Minimum Hellinger distance estimates for parametric models
• Minimum Hellinger distance estimation for Poisson mixtures.
• Minimum Hellinger Distance Estimation for Finite Mixtures of Poisson Regression Models and Its Applications
• Theoretical Statistics
• Robust and efficient estimation by minimising a density power divergence
• Maternity Length of Stay Modelling by Gamma Mixture Regression with Random Effects
• Length of stay as a performance indicator: robust statistical methodology

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