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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| Published in | Journal of the American Statistical Association Vol. 96; no. 453; p. 127 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Alexandria
Taylor & Francis Ltd
01.03.2001
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| Subjects | |
| Online Access | Get full text |
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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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| 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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| 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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