Inference in generalized additive mixed modelsby using smoothing splines
dc.contributor.author | Lin, Xihong | en_US |
dc.contributor.author | Zhang, D. | en_US |
dc.date.accessioned | 2010-06-01T22:16:58Z | |
dc.date.available | 2010-06-01T22:16:58Z | |
dc.date.issued | 1999-04 | en_US |
dc.identifier.citation | Lin, X . ; Zhang, D . (1999). "Inference in generalized additive mixed modelsby using smoothing splines." Journal of the Royal Statistical Society: Series B (Statistical Methodology) 61(2): 381-400. <http://hdl.handle.net/2027.42/75296> | en_US |
dc.identifier.issn | 1369-7412 | en_US |
dc.identifier.issn | 1467-9868 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/75296 | |
dc.format.extent | 264079 bytes | |
dc.format.extent | 3109 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Blackwell Publishers Ltd. | en_US |
dc.rights | 1999 Royal Statistical Society | en_US |
dc.subject.other | Correlated Data | en_US |
dc.subject.other | Generalized Linear Mixed Models | en_US |
dc.subject.other | Laplace Approximation | en_US |
dc.subject.other | Marginal Quasi-likelihood | en_US |
dc.subject.other | Nonparametric Regression | en_US |
dc.subject.other | Penalized Quasi-likelihood | en_US |
dc.subject.other | Smoothing Parameters | en_US |
dc.subject.other | Variance Components | en_US |
dc.title | Inference in generalized additive mixed modelsby using smoothing splines | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, Ann Arbor, USA, | en_US |
dc.contributor.affiliationother | North Carolina Street University, Raleigh, USA | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/75296/1/1467-9868.00183.pdf | |
dc.identifier.doi | 10.1111/1467-9868.00183 | en_US |
dc.identifier.source | Journal of the Royal Statistical Society: Series B (Statistical Methodology) | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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