Minimum Hellinger distance estimation for supercritical Galton-Watson processes

DOI10.1016/S0167-7152(00)00112-7zbMath0968.62060OpenAlexW2008131377MaRDI QIDQ1593719

T. N. Sriram, Anand N. Vidyashankar

Publication date: 17 September 2001

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0167-7152(00)00112-7

zbMATH Keywords

asymptotic efficiencybreakdown pointminimum Hellinger distancealpha-influence curvesHellinger functional

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Robustness and adaptive procedures (parametric inference) (62F35) Markov processes: estimation; hidden Markov models (62M05) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80)

Related Items (12)

Minimum Hellinger distance estimation for bivariate samples and time series with applications to nonlinear regression and copula-based models ⋮ Profile Hellinger distance estimation ⋮ Minimum Hellinger distance estimation for discretely observed stochastic processes using recursive kernel density estimator ⋮ Minimum distance estimation in a finite mixture regression model ⋮ Robust estimation in controlled branching processes: Bayesian estimators via disparities ⋮ Efficient Hellinger distance estimates for semiparametric models ⋮ One-step minimum Hellinger distance estimation ⋮ Minimum Hellinger distance estimation in a two-sample semiparametric model ⋮ Minimum Hellinger distance estimation for randomized play the winner design ⋮ Fixed-width confidence interval based on a minimum Hellinger distance estimator ⋮ Minimum Hellinger distance estimation in a nonparametric mixture model ⋮ Minimum Hellinger distance estimation for supercritical Galton-Watson processes

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