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Least absolute deviations

Known as: Sum of absolute deviations, Minimum absolute deviations, Minimum absolute deviation 
Least absolute deviations (LAD), also known as least absolute errors (LAE), least absolute value (LAV), least absolute residual (LAR), sum of… Expand
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Highly Cited
2015
Highly Cited
2015
We develop uniformly valid confidence regions for regression coefficients in a high-dimensional sparse median regression model… Expand
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2014
2014
The support vector machine (SVM) is a widely used method for classification. Although many efforts have been devoted to develop… Expand
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Highly Cited
2008
Highly Cited
2008
In fuzzy regression, that was first proposed by Tanaka et al. (Eur J Oper Res 40:389–396, 1989; Int Cong Appl Syst Cybern 4:2933… Expand
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Highly Cited
2006
Highly Cited
2006
Linear regression is one of the most important and widely used techniques for data analysis. However, sometimes people are not… Expand
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Highly Cited
2003
Highly Cited
2003
Hall & Yao (2003) showed that, for ARCHsGARCH, i.e. autoregressive conditional heteroscedasticsgeneralised autoregressive… Expand
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Highly Cited
2003
Highly Cited
2003
summarize knowledge about useful plants for workers in education, research, extension and industry. The following institutions… Expand
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Highly Cited
1998
Highly Cited
1998
Abstract Analyses of various biophysical and biochemical factors affecting plant canopy reflectance have been carried out over… Expand
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Highly Cited
1996
Highly Cited
1996
Abstract HAPEX-MOBILHY data, consisting of one year of hourly atmospheric forcing data at Caumont (SAMER No. 3, 43.68°N, 0.1°W… Expand
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Highly Cited
1992
Highly Cited
1992
This paper considers estimation of truncated.and censored regression models with fixed effects. Up until now, no estimator has… Expand
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Highly Cited
1984
Highly Cited
1984
This paper proposes an alternative to maximum likelihood estimation of the parameters of the censored regression (or censored… Expand
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