A Comparison of related density-based minimum divergence estimators

Jones, M.C.; Hjort, N.L.; Harris, I.R. and Basu, A. (2001). A Comparison of related density-based minimum divergence estimators. Biometrika, 88(3) pp. 865–873.

DOI: https://doi.org/10.1093/biomet/88.3.865

Abstract

This paper compares the minimum divergence estimator of Basu et al. (1998) to a competing minimum divergence estimator which turns out to be equivalent to a method proposed from a different perspective by Windham (1995). Both methods can be applied for any parametric model and contain maximum likelihood as a special case. Efficiencies are compared under model conditions, and robustness properties are studied. Overall the two methods are found to perform quite similarly. Some relatively small advantages of the former method over the latter are identified.

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About

• Item ORO ID
• 2122
• Item Type
• Journal Item
• ISSN
• 1464-3510
• Keywords
• asymptotic relative efficiency; Asymptotic relative; divergence; influence function; maximum likelihood; M-estimation; robustness;
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Depositing User
• M. C. Jones