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Corrections to a comparison of forecasts from least absolute value and least squares regression

โœ Scribed by Terry E. Dielman


Publisher
John Wiley and Sons
Year
1989
Tongue
English
Weight
75 KB
Volume
8
Category
Article
ISSN
0277-6693

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๐Ÿ“œ SIMILAR VOLUMES


A comparison of forecasts from least abs
โœ Terry E. Dielman ๐Ÿ“‚ Article ๐Ÿ“… 1986 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 462 KB ๐Ÿ‘ 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

The minimum sum of absolute errors regre
โœ Subhash C. Narula; Paulo H. N. Saldiva; Carmen D. S. Andre; Silvia N. Elian; Aur ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 134 KB ๐Ÿ‘ 1 views

This paper concerns the minimum sum of absolute errors regression. It is a more robust alternative to the popular least squares regression whenever there are outliers in the values of the response variable, or the errors follow a long tailed distribution, or the loss function is proportional to the