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Efficient Rank Regression with Wavelet Estimated Scores
Authors:E Kwessi  A Abebe  G De Souza
Institution:1. Department of Mathematics, Trinity University, San Antonio, Texas, USA;2. Department of Mathematics and Statistics, Auburn University, Auburn, Alabama, USA
Abstract:We provide an estimate of the score function for rank regression using compactly supported wavelets. This estimate is then used to find a rank-based asymptotically efficient estimator for the slope parameter of a linear model. We also provide a consistent estimator of the asymptotic variance of the rank estimator. For related mixed models, the asymptotic relative efficiency is also discussed
Keywords:Asymptotic efficiency  Score function  Besov spaces  Wavelets
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