Rank-based inference with responses missing not at random
Author:
Affiliation:
1. Department of Mathematics and Statistics; University of South Alabama; Mobile AL 36688-0002 U.S.A.
2. Department of Mathematics and Statistics; Missouri University of Science and Technology; Rolla MO 65409 U.S.A.
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/cjs.11466/fullpdf
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4. The signed-rank estimator for nonlinear regression with responses missing at random;Bindele;Electronic Journal of Statistics,2015
5. Strong consistency of the general rank estimator;Bindele;Communications in Statistics - Theory and Methods,2017
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