Abstract
Four powerful generalizations of the usual local polynomial nonparametric regression methodology are (a) local polynomial methods in generalized linear models; (b) varying coefficient generalized linear models, where the possibly multivariate coefficients in a generalized linear model are estimated nonparametrically; (c) local likelihood methods; and (d) local estimating equations, which generalize nonparametric regression to the estimating equation context. We construct bootstrap confidence intervals for the nonparametrically estimated functions in all four contexts.
Dokumententyp: | Paper |
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Fakultät: | Mathematik, Informatik und Statistik > Statistik > Sonderforschungsbereich 386
Sonderforschungsbereiche > Sonderforschungsbereich 386 |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 510 Mathematik |
URN: | urn:nbn:de:bvb:19-epub-1595-4 |
Sprache: | Englisch |
Dokumenten ID: | 1595 |
Datum der Veröffentlichung auf Open Access LMU: | 05. Apr. 2007 |
Letzte Änderungen: | 04. Nov. 2020, 12:45 |