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cones and balls
asymptotically linear estimators
6
influence curves
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differentiable functionals
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projection
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Asymptotically linear estimators
3
Influence curves
3
Symmetric location and contamination
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contamination
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total variation
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: Hellinger
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Cramer-Rao bound
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Fisher consistency
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Hampel-Krasker influence curve
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Hellinger
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asymptotic median unbiasedness
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asymptotic minimax and convolution theorems
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canonical influence curve
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concentration bounds
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convex tangent cones
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infinitesimal asymmetric neighborhoods
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linear tangent spaces
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lower confidence bounds
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maximum asymptotic variance and mean square error
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maximum mean square error
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one-sided tests
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relative risk
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semiparametric models
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semiparametrie models
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tangent spaces
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total Validation and contamination neighborhoods
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Exponential family
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Inefficiency
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Infinitesimal asymmetric neighborhoods
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Least favorable radius
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Location
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M-estimators
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Maximum asymptotic variance and mean square error
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English
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Rieder, Helmut
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Sonderforschungsbereich 373, Quantifikation und Simulation ökonomischer Prozesse, Wirtschaftswissenschaftliche Fakultät
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Neighborhoods as nuisance parameters? Robustness vs. semiparametrics
Rieder, Helmut
-
1999
asymptotically
linear
estimators
over infinitesimal neighborhoods. For Hellinger balls, the two coincide (with the classical one). In …
Persistent link: https://www.econbiz.de/10010309975
Saved in:
2
Neighborhoods as nuisance parameters? Robustness vs. semiparametrics
Rieder, Helmut
-
Sonderforschungsbereich 373, Quantifikation und …
-
1999
asymptotically
linear
estimators
over infinitesimal neighborhoods. For Hellinger balls, the two coincide (with the classical one). In …
Persistent link: https://www.econbiz.de/10010956536
Saved in:
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