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
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
Introduction to shrinkage estimators: the Stein paradox the ridge estimators of Hoerl and Kennard. Estimation for a single linear model: the James-Stein estimator for a single model ridge estimators from different general points of view improving the James-Stein estimator - the positive parts. Other linear model setups: the simultaneous estimation problem precision of individual estimators the multivariate model other linear model setups.
Introduction to shrinkage estimators: the Stein paradox the ridge estimators of Hoerl and Kennard. Estimation for a single linear model: the James-Stein estimator for a single model ridge estimators from different general points of view improving the James-Stein estimator - the positive parts. Other linear model setups: the simultaneous estimation problem precision of individual estimators the multivariate model other linear model setups.
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