Marvin Gruber
Improving Efficiency by Shrinkage
The James--Stein and Ridge Regression Estimators
Paperback Engels 2020 1e druk 9780367579364Levertijd ± 11 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
Lezersrecensies
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Inhoudsopgave
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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