This paper considers double generalized linear models, which allow the mean and dispersion to be modelled simultaneously in a generalized linear model context. Estimation of the dispersion parameters is based on a w 2 1 approximation to the unit deviances, and the accuracy of the saddle-point approx
Generalized linear modelling in geomorphology
โ Scribed by Atkinson, Peter; Jiskoot, Hester; Massari, Remo; Murray, Tavi
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 270 KB
- Volume
- 23
- Category
- Article
- ISSN
- 0360-1269
No coin nor oath required. For personal study only.
โฆ Synopsis
Generalized linear modelling (GLM) is a statistical technique used to model the relation between a response variable and a set of explanatory variables. GLM is similar to the well known multiple regression. However, GLM is a powerful technique for exploratory data analysis with many advantages over more traditional techniques. For example, GLM allows the incorporation of categorical as well as continuous response and explanatory variables in the analysis. In this paper, GLM is explained and two examples of the application of the technique in geomorphology are given. The first example involves glacier surging and the second involves landslide susceptibiliy. The examples demonstrate the relevance of GLM to many common problems in geomorphology.
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