Letter to the editor comments on Groparu-Cojocaru and Doray (2013)

Fadoua Balabdaoui, Saonli Basu

Research output: Contribution to journalLetterpeer-review

Abstract

Although estimating the five parameters of an unknown Generalized Normal Laplace (GNL) density by minimizing the distance between the empirical and true characteristic functions seems appealing, the approach cannot be advocated in practice. This conclusion is based on extensive numerical simulations in which a fast minimization procedure delivers deceiving estimators with values that are quite far away from the truth. These findings can be predicted by the very large values obtained for the true asymptotic variances of the estimators of the five parameters of the true GNL density.

Original languageEnglish (US)
Pages (from-to)3833-3840
Number of pages8
JournalCommunications in Statistics: Simulation and Computation
Volume46
Issue number5
DOIs
StatePublished - May 28 2017

Bibliographical note

Publisher Copyright:
© 2017 Taylor & Francis Group, LLC.

Keywords

  • Characteristic function
  • Generalized Normal Laplace
  • Least square
  • Pólya frequency function

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