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A k-trimmed mean is a mean where the largest and smallest k% of the observations are removed before the mean is calculated.

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How to interpret output from least trimmed squares estimate and compare it to OLS?

I have to compute and compare the least squares method on a model to the least trimmed method. The LS model results were: Coefficients: Estimate Std. Error t value Pr(>|t|) (Int …
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