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Consumer Demand in the United States || Quantile Regression: A Robust Alternative to Least Squares

โœ Scribed by Taylor, Lester D.; Houthakker, H.S.


Book ID
120212077
Publisher
Springer New York
Year
2009
Weight
877 KB
Category
Article
ISBN
1441905103

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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