Minimum Hellinger distance estimation for Poisson mixtures.

DOI10.1016/S0167-9473(98)00047-4zbMath1042.62515OpenAlexW3122376178MaRDI QIDQ1274576

Dimitris Karlis, Evdokia Xekalaki

Publication date: 12 January 1999

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-9473(98)00047-4

zbMATH Keywords

AlgorithmRobustnessEfficiencyMinimum distanceEnvironmental data

Mathematics Subject Classification ID

Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35)

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Cites Work

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• A note on a consistent estimator of a mixing distribution function
• Estimation of the mixing distribution for a normal mean with applications to the compound decision problem
• Estimation of a mixing distribution function
• Minimum Hellinger distance estimates for parametric models
• Robust estimation of \(k\)-component univariate normal mixtures
• Efficiency versus robustness: The case for minimum Hellinger distance and related methods
• Minimum Hellinger distance estimation of mixture proportions
• Mixture Densities, Maximum Likelihood and the EM Algorithm
• A Comparison of Minimum Distance and Maximum Likelihood Estimation of a Mixture Proportion
• On constructing sequences estimating the mixing distribution with applications
• Minimum Hellinger Distance Estimation for the Analysis of Count Data
• Mixture Models, Outliers, and the EM Algorithm
• Minimum Hellinger Distance Estimation for Finite Mixture Models
• Identifiability of Mixtures
• Construction of Sequences Estimating the Mixing Distribution
• On a mixture of normal distributions
• A comparison of some methods for estimating mixed normal distributions