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  • 标题:The Calculus of M-Estimation in R with geex
  • 本地全文:下载
  • 作者:Bradley C. Saul ; Michael G. Hudgens
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2020
  • 卷号:92
  • 期号:1
  • 页码:1-15
  • DOI:10.18637/jss.v092.i02
  • 出版社:University of California, Los Angeles
  • 摘要:M-estimation, or estimating equation, methods are widely applicable for point estimation and asymptotic inference. In this paper, we present an R package that can find roots and compute the empirical sandwich variance estimator for any set of user-specified, unbiased estimating equations. Examples from the M-estimation primer by Stefanski and Boos (2002) demonstrate use of the software. The package also includes a framework for finite sample, heteroscedastic, and autocorrelation variance corrections, and a website with an extensive collection of tutorials.
  • 关键词:empirical sandwich variance estimator; estimating equations; M-estimation; robust
  • 其他关键词:empirical sandwich variance estimator;estimating equations;M-estimation;robust statistics;R
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