Study of semiparametric copula models via divergences with bivariate censored data

Volume: 50, Issue: 23, Pages: 5429 - 5452
Published: Mar 9, 2020
Abstract
In this work, we study semiparametric copula models under bivariate censoring. Basing on divergences theory, we propose new estimates for the parameter of the considered model and we establish their weak consistency and asymptotic normality. We also propose tests of independence and goodness-of-fit tests for parametric families of copulas. A simulation study is conducted in order to illustrate the performance of the proposed estimates and...
Paper Details
Title
Study of semiparametric copula models via divergences with bivariate censored data
Published Date
Mar 9, 2020
Volume
50
Issue
23
Pages
5429 - 5452
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.