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A fully nonparametric diagnostic test for homogeneity of variances
Authors:Lan Wang  Xiao‐Hua Zhou
Abstract:The authors propose a new nonparametric diagnostic test for checking the constancy of the conditional variance function σ2(x) in the regression model Yi = m(xi) + σ(xi)?i, i = 1,…, m. Their test, which does not assume a known parametric form for the conditional mean function m(x), is inspired by a recent asymptotic theory in the analysis of variance when the number of factor levels is large. The authors demonstrate through simulations the good finite‐sample properties of the test and illustrate its use in a study on the effect of drug utilization on health care costs.
Keywords:Analysis of variance  constant variance  health care costs  heteroscedastic errors  nearest‐neighbour windows  nonparametric regression  residual
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