A01=Marvin Gruber
advanced regression analysis
Author_Marvin Gruber
Average MSE
Bayesian estimation methods
Category=PBT
Category=PBW
Conditional MSE
Empirical Bayes Estimator
empirical risk minimization
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Estimable Parametric Functions
estimator
estimators
frequentist inference
Generalized Ridge Estimator
Generalized Ridge Regression Estimators
James Stein Estimator
LS Estimator
MANOVA Model
Marvin H. J. Gruber
Multivariate Linear Model
multivariate statistics
Non-full Rank
Non-full Rank Case
Ordinary Ridge Estimator
Ordinary Ridge Regression Estimator
Pitman Nearness
Predictive Loss Function
Principal Component Estimators
Quadratic Loss Function
regression
ridge
Ridge Estimator
Ridge Regression Estimators
Ridge Type Estimator
shrinkage estimators in linear models
Small MSE
statistical model selection
Stein Rule Estimators
Stein Type Estimators
Wind Estimator
Product details
- ISBN 9780824701567
- Weight: 1043g
- Dimensions: 152 x 229mm
- Publication Date: 26 Feb 1998
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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Offers a treatment of different kinds of James-Stein and ridge regression estimators from a frequentist and Bayesian point of view. The book explains and compares estimators analytically as well as numerically and includes Mathematica and Maple programs used in numerical comparison.;College or university bookshops may order five or more copies at a special student rate, available on request.
Marvin Gruber
