Studies on forest damage generally cannot be carried out by common regression models, for two main reasons: Firstly, the response variable, damage state of trees, is usually observed in ordered categories. Secondly, responses are often correlated, either serially, as in a longitudinal study, or spat
β¦ LIBER β¦
Maximizing upgrading and downgrading margins for ordinal regression
β Scribed by Emilio Carrizosa; Belen Martin-Barragan
- Book ID
- 105857613
- Publisher
- Springer
- Year
- 2011
- Tongue
- English
- Weight
- 556 KB
- Volume
- 74
- Category
- Article
- ISSN
- 0340-9422
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A simple algorithm for deconvolution and regression of shot-noise-limited data is illustrated in this paper. The algorithm is easily adapted to almost any model and converges to the global optimum. Multiplecomponent spectrum regression, spectrum deconvolution and smoothing examples are used to illus