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Least absolute value and chebychev estimation utilizing least squares results

✍ Scribed by Michael G. Sklar; Ronald D. Armstrong


Book ID
105250130
Publisher
Springer-Verlag
Year
1982
Tongue
English
Weight
358 KB
Volume
24
Category
Article
ISSN
0025-5610

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A comparison of forecasts from least abs
✍ Terry E. Dielman πŸ“‚ Article πŸ“… 1986 πŸ› John Wiley and Sons 🌐 English βš– 462 KB πŸ‘ 1 views

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