Deconvolution under monotonicity assumptions

Research output: Contribution to journalArticlepeer-review

Abstract

We state limit distribution results for the isotonic inverse estimator of a distribution function when the data are disturbed by a random variable with a decreasing density. Three different dependence structures are considered: independent, weak dependent and suboordinated gaussian long range dependent data.
Original languageEnglish
JournalPreprints in Mathematical Sciences
Issue number17
Publication statusUnpublished - 1999

Subject classification (UKÄ)

  • Probability Theory and Statistics

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