Skip to main content
padlock icon - secure page this page is secure

Open Access Qualitative Robustness in Estimation

Download Article:

The full text article is available externally.

The article you have requested is supplied via the DOAJ. View from original source.

This article is Open Access under the terms of the Creative Commons CC BY licence.

Qualitative robustness, influence function, and breakdown point are three main concepts to judge an estimator from the viewpoint of robust estimation. It is important as well as interesting to study relation among them. This article attempts to present the concept of qualitative robustness as forwarded by first proponents and its later development. It illustrates intricacies of qualitative robustness and its relation with consistency, and also tries to remove commonly believed misunderstandings about relation between influence function and qualitative robustness citing some examples from literature and providing a new counter-example. At the end it places a useful finite and a simulated version of   qualitative robustness index (QRI). In order to assess the performance of the proposed measures, we have compared fifteen estimators of correlation coefficient using simulated as well as real data sets.

No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1: Department of Statistics Rajshahi University, Rajshahi-6205, Bangladesh 2: Institute of Mathematical Sciences University of Malaya Kuala Lumpur, Malaysia 3: Department of Statistics Hajee Mohammad Danesh Science and Technology University Dinajpur 5200, Bangladesh

Publication date: January 1, 2012

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more