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- W2472389618 abstract "One of the appealing properties of the minimum sum of absolute errors (MSAE) regression is its resistance to outliers and long-tailed error distributions. Just like the sample median, the MSAE estimators are influenced by all the observations but determined by only a subset of the observations. The MSAE estimates are not altered if the value of the response (or predictor) variable for an observation associated with a non-O residual is within a certain interval. In this paper we develop procedures to determine such intervals for the simple linear regression model" @default.
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- W2472389618 date "1993-01-01" @default.
- W2472389618 modified "2023-09-26" @default.
- W2472389618 title "Intervals which Leave the Minimum Sum of Absolute Errors Regression Unchanged" @default.
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- W2472389618 doi "https://doi.org/10.2307/2986239" @default.
- W2472389618 hasPublicationYear "1993" @default.
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