One-step minimum Hellinger distance estimation
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Publication:1942895
DOI10.1016/j.csda.2011.06.029zbMath1271.62035OpenAlexW2015450719MaRDI QIDQ1942895
Rohana J. Karunamuni, Jingjing Wu
Publication date: 14 March 2013
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2011.06.029
Asymptotic properties of parametric estimators (62F12) Robustness and adaptive procedures (parametric inference) (62F35)
Related Items (8)
Profile Hellinger distance estimation ⋮ Efficient and robust tests for semiparametric models ⋮ Robust and efficient estimation of effective dose ⋮ Minimum distance estimation in a finite mixture regression model ⋮ Semiparametric modelling of two-component mixtures with stochastic dominance ⋮ One-step minimum Hellinger distance estimation ⋮ Robust variable selection for finite mixture regression models ⋮ Minimum profile Hellinger distance estimation for semiparametric simple linear regression model
Cites Work
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- Efficient Hellinger distance estimates for semiparametric models
- Simulated minimum Hellinger distance estimation of stochastic volatility models
- Minimum Hellinger distance estimation in a two-sample semiparametric model
- Minimum Hellinger distance estimation in a nonparametric mixture model
- Robust estimation of mixture complexity for count data
- Robust empirical Bayes tests for continuous distributions
- Asymptotic number of roots of Cauchy location likelihood equations
- Asymptotic methods in statistical decision theory
- Minimum Hellinger distance estimation of parameter in the random censorship model
- Minimum Hellinger-type distance estimation for censored data
- An efficient and robust adaptive estimator of location
- Minimum Hellinger distance estimates for parametric models
- Minimum Hellinger distance estimation for Poisson mixtures.
- Efficiency versus robustness: The case for minimum Hellinger distance and related methods
- Minimum Hellinger distance estimation for supercritical Galton-Watson processes
- Minimum disparity estimation for continuous models: Efficiency, distributions and robustness
- Minimum Hellinger distance estimation of mixture proportions
- One-step minimum Hellinger distance estimation
- Rates of convergence of an adaptive kernel density estimator for finite mixture models
- Asymptotic normality of an adaptive kernel density estimator for finite mixture models
- Large deviation probabilities for certain nonparametric maximum likelihood estimators
- The Stochastic Difference Between Econometric Statistics
- Approximation Theorems of Mathematical Statistics
- Minimum Hellinger Distance Estimation for Finite Mixtures of Poisson Regression Models and Its Applications
- Robust Estimation of Mixture Complexity
- On minimum Hellinger distance estimation
- Minimum Hellinger Distance Estimation for Multivariate Location and Covariance
- Minimum Hellinger Distance Estimation for the Analysis of Count Data
- Data Analysis Using Stein's Estimator and its Generalizations
- One-Step Huber Estimates in the Linear Model
- Asymptotic Statistics
- Minimum Hellinger Distance Estimation for Finite Mixture Models
- On the Standard Asymptotic Confidence Ellipsoids of Wald
- One-step Local Quasi-likelihood Estimation
- Robust Statistics
- Robust inference for finite Poisson mixtures
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