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Resampling based inference for a distribution function using censored ranked set samples
Authors:
- M. Mahdizadeh,
- E. Strzalkowska-Kominiak
Abstract
This article deals with constructing confidence intervals/bands for a distri-bution function based on censored ranked set samples. Toward this end, a resamplingplan is suggested and its validity is investigated. Monte Carlo simulations are usedto compare performances of the bootstrap confidence intervals with their asymptoticanalogs, and their modifications by jackknife. An environmental data set is finallyanalyzed.
- Record ID
- CUTac9365cd52db4adc8058a7b019a2cac1
- Publication categories
- ;
- Author
- Journal series
- Computational Statistics, ISSN 0943-4062, e-ISSN 1613-9658
- Issue year
- 2017
- Vol
- 32
- No
- 4
- Pages
- 1285-1308
- Other elements of collation
- tab.; wykr.; Bibliografia (na s.) - 1308; Bibliografia (liczba pozycji) - [24]; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 32, Iss. 4
- Keywords in English
- asymptotic inference, confidence interval, nonparametric bootstrap, ranked set sampling
- DOI
- DOI:10.1007/s00180-017-0716-4 Opening in a new tab
- URL
- https://link.springer.com/article/10.1007/s00180-017-0716-4 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTac9365cd52db4adc8058a7b019a2cac1/
- URN
urn:pkr-prod:CUTac9365cd52db4adc8058a7b019a2cac1
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.