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~subject:"total Validation and contamination neighborhoods"
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total Validation and contamination neighborhoods
asymptotically linear estimators
6
influence curves
6
differentiable functionals
4
projection
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Asymptotically linear estimators
3
Influence curves
3
Symmetric location and contamination
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contamination
3
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
2
concentration bounds
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cones and balls
2
convex tangent cones
2
infinitesimal asymmetric neighborhoods
2
linear tangent spaces
2
lower confidence bounds
2
maximum asymptotic variance and mean square error
2
maximum mean square error
2
one-sided tests
2
relative risk
2
semiparametric models
2
semiparametrie models
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tangent spaces
2
Exponential family
1
Inefficiency
1
Infinitesimal asymmetric neighborhoods
1
Least favorable radius
1
Location
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M-estimators
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Maximum asymptotic variance and mean square error
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Minmax MSE
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One-step construction
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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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SFB 373 Discussion Paper
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SFB 373 Discussion Papers
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EconStor
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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
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2
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:
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