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Computational Statistics

, Volume 33, Issue 2, pp 639–658 | Cite as

New designs to consistently estimate the isotonic regression

  • Ana Colubi
  • J. Santos Dominguez-Menchero
  • Gil Gonzalez-Rodriguez
Original Paper
  • 56 Downloads

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 

Notes

Acknowledgements

The research in this paper has been partially supported by MTM2013-44212-P, GRUPIN14-005 and the COST Action IC1408.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Dpto. de Estadistica e I.O. y D.M.Universidad de OviedoOviedoSpain

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