## Abstract A diagnostic procedure for detecting additive and innovation outliers as well as level shifts in a regression model with ARIMA errors is introduced. The procedure is based on a robust estimate of the model parameters and on innovation residuals computed by means of robust filtering. A M
β¦ LIBER β¦
Modeling manufacturing processes using fuzzy regression with the detection of outliers
β Scribed by C. K. Kwong; Y. Chen; H. Wong
- Book ID
- 105852102
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 220 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0268-3768
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