Change search
ReferencesLink to record
Permanent link

Direct link
Asymptotical properties of nonparametric point estimators based on complexly structured reliability data with right-censoring
Umeå University, Faculty of Science and Technology, Department of Mathematics and Mathematical Statistics.
1991 (English)In: Statistics (Berlin), ISSN 0233-1888, Vol. 22, no 4, 589-612 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a general approach to nonparametric estimation of unknown distribution functions and related characteristics such as cumulative hazard functions. It is based on the notion of portions of statistical data and on the property of discertely separated distributions of statistical data General assumptions are given under which the corresponding generalized maximum likelihood estimators are consistent and their deviations have asymptotically normal distributions, if the number of portions increases to indinity.

Place, publisher, year, edition, pages
Taylor & Francis, 1991. Vol. 22, no 4, 589-612 p.
Keyword [en]
Nonparametric estimation, right\-censored data, product\-limit estimators, reliability data analusis, survival analysis
National Category
Probability Theory and Statistics
URN: urn:nbn:se:umu:diva-87445DOI: 10.1080/02331889108802339OAI: diva2:709350
Available from: 2014-04-01 Created: 2014-04-01 Last updated: 2014-04-17Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Belyaev, Yuri K
By organisation
Department of Mathematics and Mathematical Statistics
In the same journal
Statistics (Berlin)
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 51 hits
ReferencesLink to record
Permanent link

Direct link