Variance Function Estimation
Published in Cambridge University Press eBooks • Jul 14, 2003
NobleIDNI4P82W68R68S27
Authors:,,
David Ruppert
M. P. Wand
R. J. Carroll
Abstract
This thesis concerns the estimation of the variance function in regression data when the classical assumption of constant variance is violated. We have adopted the assumption that either the variance function is parametric or is unknown but smooth. The purpose in this thesis is to develop the techni...
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