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Heteroskedasticity in Regression: Detection and Correction (Quantitative Applications in the Social Sciences)
Heteroskedasticity in Regression Detection and Correction - Quantitative Applications in the Social Sciences Author:Robert L. Kaufman This text covers the consequences of violating one of the key assumptions of Ordinary Least Squares regression (equal error variances), diagnostic tools to assess the existence of the problem of heteroskedasticity, and statistical techniques to analyse the data correctly.