ROBUST INFERENCE IN PARAMETRIC MODELS USING THE FAMILY OF GENERALIZED NEGATIVE EXPONENTIAL DISPARITIES
DOI10.1111/j.1467-842X.2006.00428.xzbMath1109.62015OpenAlexW2045941338MaRDI QIDQ3429886
Sahadeb Sarkar, Ayanendranath Basu, Subir Kumar Bhandari
Publication date: 20 March 2007
Published in: Australian <html_ent glyph="@amp;" ascii="&"/> New Zealand Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-842x.2006.00428.x
Asymptotic properties of parametric estimators (62F12) Parametric hypothesis testing (62F03) Point estimation (62F10) Robustness and adaptive procedures (parametric inference) (62F35) Asymptotic properties of parametric tests (62F05)
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Cites Work
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- Multilayer statistical classifiers
- Weighted likelihood estimating equations: The discrete case with applications to logistic regression
- Minimum negative exponential disparity estimation in parametric models
- Minimum disparity estimation for continuous models: Efficiency, distributions and robustness
- Tests of hypotheses in discrete models based on the penalized Hellinger distance
- Approximation Theorems of Mathematical Statistics
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