Nonparametric empirical Bayes growth curve analysis

N. S. Altman, G. Casella

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

Nonparametric and semiparametric regression have been suggested as alternatives to parametric models for growth curve analysis. In this article we demonstrate that empirical Bayes estimation can be used to improve linear smoothing estimates when multiple curves are available.

Original languageEnglish (US)
Pages (from-to)508-515
Number of pages8
JournalJournal of the American Statistical Association
Volume90
Issue number430
DOIs
StatePublished - Jun 1995

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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