Generalized Linear Models: Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16–19, 1985
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
1985
|
| Series: | Lecture Notes in Statistics
32 |
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | This volume consists of the published proceedings of the GLIM 95 Conference, held at Lancaster University, UK, from 16-19 September 1995. This is the second of such proceedings, the first of which was published as No 14 of the Springer-Verlag Lecture Notes in Statistics (Gilchrist,ed,1992). Since the 1992 conference there has been a modest update of the GLIM system, called GLIM 3.77. This incorporates some minor but pleasant enhancements and these are outlined in these proceedings by payne and Webb. With the completion of GLIM 3.77, future developments of the GLIM system are again under active review. Aitkin surveys possible directions for GLIM. one sOlMlWhat different avenue for analysing generalized linear models is provided by the GENSTAT system; Lane and payne discuss the new interactive facilities p~ided by version 5 of GENSTAT. On the theory Side, NeIder extends the concept and use of quasi-likelihood, giving useful forms of variance function and a method of introducing a random element into the linear predictor. Longford discusses one approach to the analysis of clustered observations (subjects within groups). Green and Yandell introduce 'semi-parametric modelling', allowing a compromise between parametriC and non-parametriC modelling. They modify the linear predictor by the addition of a ( smooth) curve, and estimate parameters by maximising a penalised log-likelihood. Hastie and Tibshirani introduce generalized additive models, introducing a linear predictor of the form 11 = (X + Efj(xj), with the fj estimated from the data by a weighted average of neighbouring observations |
| Physical Description: | 1 Online-Ressource (VI, 182 p) |
| ISBN: | 9781461570707 9780387962245 |
| ISSN: | 0930-0325 |
| DOI: | 10.1007/978-1-4615-7070-7 |
Staff View
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| spelling | Gilchrist, Robert Verfasser aut Generalized Linear Models Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16–19, 1985 edited by Robert Gilchrist, Brian Francis, Joe Whittaker New York, NY Springer US 1985 1 Online-Ressource (VI, 182 p) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Statistics 32 0930-0325 This volume consists of the published proceedings of the GLIM 95 Conference, held at Lancaster University, UK, from 16-19 September 1995. This is the second of such proceedings, the first of which was published as No 14 of the Springer-Verlag Lecture Notes in Statistics (Gilchrist,ed,1992). Since the 1992 conference there has been a modest update of the GLIM system, called GLIM 3.77. This incorporates some minor but pleasant enhancements and these are outlined in these proceedings by payne and Webb. With the completion of GLIM 3.77, future developments of the GLIM system are again under active review. Aitkin surveys possible directions for GLIM. one sOlMlWhat different avenue for analysing generalized linear models is provided by the GENSTAT system; Lane and payne discuss the new interactive facilities p~ided by version 5 of GENSTAT. On the theory Side, NeIder extends the concept and use of quasi-likelihood, giving useful forms of variance function and a method of introducing a random element into the linear predictor. Longford discusses one approach to the analysis of clustered observations (subjects within groups). Green and Yandell introduce 'semi-parametric modelling', allowing a compromise between parametriC and non-parametriC modelling. They modify the linear predictor by the addition of a ( smooth) curve, and estimate parameters by maximising a penalised log-likelihood. Hastie and Tibshirani introduce generalized additive models, introducing a linear predictor of the form 11 = (X + Efj(xj), with the fj estimated from the data by a weighted average of neighbouring observations Statistics Statistics, general Statistik Lineares Modell (DE-588)4134827-8 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 1985 Lancaster Lancashire gnd-content Lineares Modell (DE-588)4134827-8 s 2\p DE-604 Francis, Brian Sonstige oth Whittaker, Joe Sonstige oth https://doi.org/10.1007/978-1-4615-7070-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Gilchrist, Robert Generalized Linear Models Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16–19, 1985 Statistics Statistics, general Statistik Lineares Modell (DE-588)4134827-8 gnd |
| subject_GND | (DE-588)4134827-8 (DE-588)1071861417 |
| title | Generalized Linear Models Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16–19, 1985 |
| title_auth | Generalized Linear Models Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16–19, 1985 |
| title_exact_search | Generalized Linear Models Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16–19, 1985 |
| title_full | Generalized Linear Models Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16–19, 1985 edited by Robert Gilchrist, Brian Francis, Joe Whittaker |
| title_fullStr | Generalized Linear Models Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16–19, 1985 edited by Robert Gilchrist, Brian Francis, Joe Whittaker |
| title_full_unstemmed | Generalized Linear Models Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16–19, 1985 edited by Robert Gilchrist, Brian Francis, Joe Whittaker |
| title_short | Generalized Linear Models |
| title_sort | generalized linear models proceedings of the glim 85 conference held at lancaster uk sept 16 19 1985 |
| title_sub | Proceedings of the GLIM 85 Conference held at Lancaster, UK, Sept. 16–19, 1985 |
| topic | Statistics Statistics, general Statistik Lineares Modell (DE-588)4134827-8 gnd |
| topic_facet | Statistics Statistics, general Statistik Lineares Modell Konferenzschrift 1985 Lancaster Lancashire |
| url | https://doi.org/10.1007/978-1-4615-7070-7 |
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