Consistency of MLE, LSE and M-estimation under mild conditions
Jin Zhang ()
Additional contact information
Jin Zhang: Yunnan University
Statistical Papers, 2020, vol. 61, issue 1, No 10, 189-199
Abstract:
Abstract Consistency of estimation is a necessary and essential asymptotic property, but consistency of MLE, LSE and M-estimation remains unsolved satisfactorily in the general case. A commonly used “standard condition” is shown to be almost false. A unified mild condition of consistency is established in this paper, and it is often a sufficient and necessary condition.
Keywords: Asymptotics; Consistent estimator; Criterion function; Parameter estimation; Uniform convergence; 62F12 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s00362-017-0928-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:stpapr:v:61:y:2020:i:1:d:10.1007_s00362-017-0928-2
Ordering information: This journal article can be ordered from
http://www.springer. ... business/journal/362
DOI: 10.1007/s00362-017-0928-2
Access Statistics for this article
Statistical Papers is currently edited by C. Müller, W. Krämer and W.G. Müller
More articles in Statistical Papers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().