## Abstract Forecasting for nonlinear time series is an important topic in time series analysis. Existing numerical algorithms for multiβstepβahead forecasting ignore accuracy checking, alternative Monte Carlo methods are also computationally very demanding and their accuracy is difficult to contro
β¦ LIBER β¦
A practical method for outlier detection in autoregressive time series modelling
β Scribed by Hau, M. C. ;Tong, H.
- Publisher
- Springer
- Year
- 1989
- Tongue
- English
- Weight
- 974 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0931-1955
No coin nor oath required. For personal study only.
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