@inproceedings{af2c9663baf44deba1be01ade3678a88,
title = "Testing estimator's credibility - Part I: Tests for MSE",
abstract = "Most estimators and filters provide assessments of their own estimation error, often in the form of mean-square error. Are these self-assessments trustable? What is the degree to which they are trustable? This is Part I of a two-part series that provides answers to some of these questions, referred to as the credibility of the estimators. It formulates the concept of credibility, proposes tests for MSE-credibility, and discusses their superiority to the existing test. Numerical examples are provided to illustrate the utility and effectiveness of the proposed tests and the drawbacks of the existing test.",
keywords = "Credibility, Estimation, Performance evaluation, Statistical test",
author = "Li, \{X. Rong\} and Zhanlue Zhao",
year = "2006",
doi = "10.1109/ICIF.2006.301742",
language = "英语",
isbn = "1424409535",
series = "2006 9th International Conference on Information Fusion, FUSION",
publisher = "IEEE Computer Society",
booktitle = "2006 9th International Conference on Information Fusion, FUSION",
note = "9th International Conference on Information Fusion, FUSION 2006 ; Conference date: 10-07-2006 Through 13-07-2006",
}