Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/7145
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | LINDSEY, James | - |
dc.contributor.author | LAMBERT, Philippe | - |
dc.date.accessioned | 2007-12-20T16:13:29Z | - |
dc.date.available | 2007-12-20T16:13:29Z | - |
dc.date.issued | 1995 | - |
dc.identifier.citation | Journal of statistical planning and interference, 47(1-2). p. 129-139 | - |
dc.identifier.uri | http://hdl.handle.net/1942/7145 | - |
dc.description.abstract | The dynamic generalized linear model for non-normal data is extended for use in repeated measurements, when series of observations are available for more than one individual. Examples are given for count and duration data. | - |
dc.language.iso | en | - |
dc.publisher | Elsevier Science B.V. | - |
dc.subject.other | Autoregression; Dynamic generalized linear model; Kalman filter; Longitudinal data; Overdispersion; Repeated measurements; State space model | - |
dc.title | Dynamic generalized linear models and repeated measurements | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 139 | - |
dc.identifier.issue | 1-2 | - |
dc.identifier.spage | 129 | - |
dc.identifier.volume | 47 | - |
dc.bibliographicCitation.oldjcat | - | |
dc.identifier.doi | 10.1016/0378-3758(94)00126-G | - |
item.fullcitation | LINDSEY, James & LAMBERT, Philippe (1995) Dynamic generalized linear models and repeated measurements. In: Journal of statistical planning and interference, 47(1-2). p. 129-139. | - |
item.accessRights | Closed Access | - |
item.fulltext | No Fulltext | - |
item.contributor | LINDSEY, James | - |
item.contributor | LAMBERT, Philippe | - |
Appears in Collections: | Research publications |
SCOPUSTM
Citations
12
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
13
checked on Jul 23, 2024
Page view(s)
148
checked on Nov 7, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.