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~subject:"Squared error loss"
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Minimaxity in predictive densi...
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Squared error loss
Linear mixed model
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Mean squared error
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Parametric bootstrap
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Restricted parameter space
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Second-order approximation
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Small area estimation
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inadmissibility
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Balanced loss function
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Best linear unbiased predictor
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Fay–Herriot model
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High dimension
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Multivariate normal
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Pitman closeness
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Variable selection
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common mean
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primary
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62C20 Minimax estimators Quadratic loss Spherically symmetric distributions Location parameters Completely monotone functions Unimodality
1
62H12 secondary
1
62H30 Covariance matrix Discriminant analysis Dominance property Efron-Morris loss function Empirical Bayes procedure Multivariate classification Precision matrix Singular Wishart Stein-Haff identity
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Absolute value error loss
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Akaike information criterion
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Asymptotic distributions
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Asymptotic optimality
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Bartlett-type adjustment
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Bayes estimators
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Bayes prediction
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Bayesian inference
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Bayesian methods
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Benchmarking
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Binomial variance
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Marchand, Éric
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Jozani, Mohammad
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Perron, François
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Annals of the Institute of Statistical Mathematics
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Metrika
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Minimax estimation of constrained parametric functions for discrete families of distributions
Jozani, Mohammad
;
Marchand, Éric
- In:
Metrika
66
(
2007
)
2
,
pp. 151-160
Persistent link: https://www.econbiz.de/10005598738
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Estimating a bounded parameter for symmetric distributions
Marchand, Éric
;
Perron, François
- In:
Annals of the Institute of Statistical Mathematics
61
(
2009
)
1
,
pp. 215-234
Persistent link: https://www.econbiz.de/10005616399
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