The expression “robust regression” denotes a set of estimation techniques that are
less sensitive than ordinary least squares (OLS) to the effect of possible influential
observations.
The main argument invoked to justify the use of robust regression is that
it provides efficiency gains in the presence of errors with heavy-tailed distribution
In its various forms, robust regression has a well established tradition in statistics (see,
e.g., Huber, 1981; Hampel, Ronchetti, Rousseeuw and Stahel, 1986; Rousseeuw and
Leroy, 1987, and Maronna, Martin and Yohai, 2006)
The expression “robust regression” denotes a set of estimation techniques that areless sensitive than ordinary least squares (OLS) to the effect of possible influentialobservations.The main argument invoked to justify the use of robust regression is thatit provides efficiency gains in the presence of errors with heavy-tailed distributionIn its various forms, robust regression has a well established tradition in statistics (see,e.g., Huber, 1981; Hampel, Ronchetti, Rousseeuw and Stahel, 1986; Rousseeuw andLeroy, 1987, and Maronna, Martin and Yohai, 2006)
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