Multiplicative mixed models for the analysis of sensory evaluation data
โ Scribed by Alison Smith; Brian Cullis; Per Brockhoff; Robin Thompson
- Book ID
- 117640991
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 282 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0950-3293
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
The conventional method of analysis of a data-set of this type starts with the formulation of some, bypothgie r e g q r w g ,$he mechanissl by which %bles ofthe tspe in Figure are generated. Some probability model is implicit or explicit in this hypothesis and this allows the evaluation of the poss
Data from a litter matched tumorigenesis experiment arc analysed using a gencralised h e a r mixed model (GLMM) approach to the analysis of clustered survival data in which there is a dependence of failure time observations withii the same litter. Maximum likelihood (ML.) and residual maximum likeli