The general linear mixed model provides a useful approach for analysing a wide variety of data structures which practising statisticians often encounter. Two such data structures which can be problematic to analyse are unbalanced repeated measures data and longitudinal data. Owing to recent advances
โฆ LIBER โฆ
Modelling repeated insurance claim frequency data using the generalized linear mixed model
โ Scribed by Yau, Kelvin; Yip, Karen; Yuen, H. K.
- Book ID
- 121496554
- Publisher
- Taylor and Francis Group
- Year
- 2003
- Tongue
- English
- Weight
- 94 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0266-4763
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Using the general linear mixed model to
โ
Avital Cnaan; Nan M. Laird; Peter Slasor
๐
Article
๐
1997
๐
John Wiley and Sons
๐
English
โ 336 KB
๐ 3 views
Modeling continuous auxiliary covariate
โ
Jianwei Chen; Chii-Dean Lin
๐
Article
๐
2010
๐
John Wiley and Sons
๐
English
โ 256 KB
๐ 3 views
Use of generalized linear mixed models i
โ
Karen Y. Fung; Xihong Lin; Daniel Krewski
๐
Article
๐
1998
๐
John Wiley and Sons
๐
English
โ 69 KB
๐ 3 views
The transgenic mouse assay is now widely used for ent sources of variation in the data can be evaluthe study of mutagenesis in diverse rodent tissues ated in nested factorial experiments and treatment and to test chemicals for genotoxic potential. This effects can be assessed simultaneously. It avoi
Bayesian Prediction of Spatial Count Dat
โ
Ole F. Christensen; Rasmus Waagepetersen
๐
Article
๐
2002
๐
John Wiley and Sons
๐
English
โ 805 KB
Generation of fraction images from AVHRR
โ
Yogesh Kant; KVS Badarinath
๐
Article
๐
1998
๐
Springer-Verlag
๐
English
โ 715 KB
Estimability and Likelihood Inference fo
โ
Lele, Subhash R.; Nadeem, Khurram; Schmuland, Byron
๐
Article
๐
2010
๐
American Statistical Association
๐
English
โ 587 KB