New designs to consistently estimate the isotonic regression

Ana Colubi (), J. Santos Dominguez-Menchero () and Gil Gonzalez-Rodriguez ()
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Ana Colubi: Universidad de Oviedo
J. Santos Dominguez-Menchero: Universidad de Oviedo
Gil Gonzalez-Rodriguez: Universidad de Oviedo

Computational Statistics, 2018, vol. 33, issue 2, No 4, 639-658

Abstract: Abstract The usual estimators of the regression under isotonicity assumptions are too sensitive at the tails. In order to avoid this problem, some new strategies for fixed designs are analyzed. The uniform consistency of certain estimators on a closed and bounded working interval are obtained. It is shown that the usual isotonic regression can be employed when the number of observations at the edges of the interval is suitably controlled. Moreover, two modifications are proposed which substantially improve the results. One modification is based on the reallocation of part of the edge observations, and the other one forces the isotonic regression to take values within some horizontal bands. The theoretical results are complemented with some examples and simulation studies that illustrate the performance of the proposed estimators in practice.

Keywords: Isotonic regression; Estimation; Uniform consistency; Designs (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s00180-018-0792-0

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