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Deconvolution under monotonicity assumptions

Anevski, Dragi LU (1999) In Preprints in Mathematical Sciences
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.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
unpublished
subject
in
Preprints in Mathematical Sciences
issue
17
publisher
Lund University
ISSN
1403-9338
language
English
LU publication?
yes
id
c23abdb3-df1b-45e6-9229-9f6f798dbb2c (old id 1494825)
date added to LUP
2016-04-01 16:41:26
date last changed
2018-11-21 20:43:26
@article{c23abdb3-df1b-45e6-9229-9f6f798dbb2c,
  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.}},
  author       = {{Anevski, Dragi}},
  issn         = {{1403-9338}},
  language     = {{eng}},
  number       = {{17}},
  publisher    = {{Lund University}},
  series       = {{Preprints in Mathematical Sciences}},
  title        = {{Deconvolution under monotonicity assumptions}},
  year         = {{1999}},
}