L773:0233 1888 OR L773:1029 4910
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Asymptotical properties of nonparametric point estimators based on complexly structured reliability data with right-censoring
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- Belyaev, Yuri K (author)
- Umeå universitet,Institutionen för matematik och matematisk statistik
- (creator_code:org_t)
- Taylor & Francis, 1991
- 1991
- English.
- In: Statistics (Berlin). - : Taylor & Francis. - 0233-1888 .- 1029-4910. ; 22:4, s. 589-612
- Journal article (peer-reviewed)
Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Keyword
- Nonparametric estimation
- right\-censored data
- product\-limit estimators
- reliability data analusis
- survival analysis
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- ref (subject category)
- art (subject category)
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