On the application of some stochastic models to precipitation forecasting
β Scribed by T. G. J. Dyer
- Publisher
- John Wiley and Sons
- Year
- 1977
- Tongue
- English
- Weight
- 773 KB
- Volume
- 103
- Category
- Article
- ISSN
- 0035-9009
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The equivalent of 157 rainfall records for South Africa have been subjected to various statistical modelling techniques. These include: autoregression; multiple linear and trigonometric regression; and exponential smoothing. Between them the models cover shortβ and longβterm forecasting. the trigonometric model provides a useful forecasting aid. Estimation of the parameters in this model stem from the spectra of the raw rainfall data. the models described are limited neither to rainfall nor the area of the globe from which the present data were obtained.
π SIMILAR VOLUMES
A forecasting model for y , based on its relationship to exogenous variables (e.g. x,) must use i,, the forecast of x,. An example is given where commercially available I,'s are sufficiently inaccurate that a univariate model for y , appears preferable. For a variety of types of models inclusion of