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Bolthausen, E (1977). Convergence in distribution of minimum-distance estimators. Metrika, 24(4):215-227.

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Abstract

It is shown that (under some regularity conditions) minimum distance estimators for a (possibly multidimensional) real parameter of a family of univariate continuous distribution functions have an asymptotic distribution. If the distance is derived from the mean-square norm it is proved that the asymptotic distribution is normal. Weak convergence of empirical distribution to the Brownian bridge is the essential tool for the proof.

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
DDC:510 Mathematics
Uncontrolled Keywords:Minimum-Distance Estimators; Convergence in Distribution; Skorohod Metric
Language:English
Date:1977
Deposited On:19 Oct 2009 14:21
Last Modified:23 Nov 2012 12:51
Publisher:Springer
ISSN:0026-1335
Free access at:Related URL. An embargo period may apply.
Publisher DOI:10.1007/BF01893411
Related URLs:http://www.digizeitschriften.de/dms/img/?PPN=PPN358794056_0024&DMDID=dmdlog57
http://www.zentralblatt-math.org/zbmath/search/?q=an%3A0396.62022
Citations:Google Scholar™
Scopus®. Citation Count: 5

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