A bias reducing technique in kernel distribution function estimation

Choongrak Kim, Sungsoo Kim, Mira Park, Hakbae Lee

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


In this paper we suggest a bias reducing technique in kerneldistribution function estimation. In fact, it uses a convex combination of three kernel estimators, and it turned out that the bias has been reduced to the fourth power of the bandwidth, while the bias of the kernel distribution function estimator has the second power of the bandwidth. Also, the variance of the proposed estimator remains at the same order as the kernel distribution function estimator. Numerical results based on simulation studies show this phenomenon, too.

Original languageEnglish
Pages (from-to)589-601
Number of pages13
JournalComputational Statistics
Issue number3-4
Publication statusPublished - 2006 Dec

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Computational Mathematics


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