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  • 标题:wle: A Package for Robust Statistics using Weighted Likelihood
  • 本地全文:下载
  • 作者:Claudio Agostinelli
  • 期刊名称:R News
  • 印刷版ISSN:1609-3631
  • 出版年度:2001
  • 卷号:1
  • 期号:3
  • 页码:32
  • 出版社:The R Foundation for Statistical Computing
  • 摘要:The wle is a package for robust statistics using the weighted-likelihood estimating equations approach. This approach is different in many aspects from that presented in Huber (1981) and Hampel et al. (1986). It provides a general framework so that extensions are simpler than in the classical setting. The main feature is to provide first-order efficient (asymptotically) and robust estimators in the sense of breakdown. The current version (0.6-1) of the package implements most of the results presented in the literature. In the next section we will introduce the weighted likelihood methodology and review the present literature. In the section Package features we will give some details about the current release and we will provide an example of some functions.
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