Three steps towards robust regression

作者: Howard Wainer , David Thissen

DOI: 10.1007/BF02291695

关键词:

摘要: The three most commonly used statistics, the arithmetic mean, variance, and product-moment correlation, are unfortunate choices when data not strictly Gaussian. A new measure of correlation a scale proposed which substantially more robust than their least squares counterparts. An illustration shows how increased robustness can be obtained through use equal regression weights without severe loss in accuracy. paper also incorporating knowledge about theoretical structure coefficients into estimation aid increasing robustness.

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