A Monte Carlo simulation is used to compare forecasts from least absolute value and least squares estimated regression equations. When outliers are present, the least absolute value forecasts are shown to be superior to least squares forecasts. The results emphasize the importance of exercising caut
โฆ LIBER โฆ
Corrections to a comparison of forecasts from least absolute value and least squares regression
โ Scribed by Terry E. Dielman
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 75 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0277-6693
No coin nor oath required. For personal study only.
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