## Abstract We consider the use of generalized additive models with correlated errors for analysing trends in time series. The trend is represented as a smoothing spline so that it can be extrapolated. A method is proposed for choosing the smoothing parameter. It is based on the ability to predict
โฆ LIBER โฆ
Smooth distributed lag estimators and smoothing spline functions in Hilbert spaces
โ Scribed by Corrado Corradi
- Publisher
- Elsevier Science
- Year
- 1977
- Tongue
- English
- Weight
- 404 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0304-4076
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