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You are confusing quite different things, but the main reason for your confusion is that terminology in statistical science is indeed inconsistent here. The Stata command rreg implements one flavour of robust regression that is (in a very limited sense) robust to outliers in the data. What it does is well documented in the Stata manuals and also discussed ...

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One way to assign a weight to a variable is by changing its scale. The trick works for the clustering algorithms you mention, viz. k-means, weighted-average linkage and average-linkage. Kaufman, Leonard, and Peter J. Rousseeuw. "Finding groups in data: An introduction to cluster analysis." (2005) - page 11: The choice of measurement units gives rise to ...

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When most people think of a non-parametric equivalent of ANOVA, they think of the Kruskal-Wallis test. The Kruskal-Wallis test cannot be applied to a factorial structure, however. The first workaround to this is to run all of your conditions as a one-way analysis. This does not let you test your factors individually, but you may be able to get what you ...

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You could see either (i) a straight [signed rank statistic]( In moderate to large samples, the z-value is more interpretable, but the p-value should be (about) the same in either case. )$^{[1]}$, or (ii) a signed rank statistic which has been standardized by subtracting the mean and then dividing by the standard deviation under of the signed rank statistic ...

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Questions arise at several levels here. First, as it appears that you have just one predictor then a graph of (average) y versus x should indicate (a) what model(s) is/are plausible (b) what pathologies in your data might be inhibiting or prohibiting convergence. Although fractional polynomials are a flexible family, they won't be able to cope with ...

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