Smoothing spline ANOVA for multivariate Bernoulli observations, with application to ophthalmology data / comments/ rejoinder

Gao et al combined a smoothing spline analysis of variance model and a log-linear model to build a partly flexible model for multivariate Bernoulli data. Yee et al comment on the work of Gao et al, and Gao et al respond.

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Bibliographic Details
Published inJournal of the American Statistical Association Vol. 96; no. 453; p. 127
Main Authors Gao, Fangyu, Wahba, Grace, Klein, Ronald, Klein, Barbara
Format Journal Article
LanguageEnglish
Published Alexandria Taylor & Francis Ltd 01.03.2001
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Abstract Gao et al combined a smoothing spline analysis of variance model and a log-linear model to build a partly flexible model for multivariate Bernoulli data. Yee et al comment on the work of Gao et al, and Gao et al respond.
AbstractList Gao et al combined a smoothing spline analysis of variance model and a log-linear model to build a partly flexible model for multivariate Bernoulli data. Yee et al comment on the work of Gao et al, and Gao et al respond.
Author Klein, Barbara
Wahba, Grace
Klein, Ronald
Gao, Fangyu
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  givenname: Barbara
  surname: Klein
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Snippet Gao et al combined a smoothing spline analysis of variance model and a log-linear model to build a partly flexible model for multivariate Bernoulli data. Yee...
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StartPage 127
SubjectTerms Bernoulli Hypothesis
Statistics
Variance analysis
Title Smoothing spline ANOVA for multivariate Bernoulli observations, with application to ophthalmology data / comments/ rejoinder
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