Use this url to cite publication: https://hdl.handle.net/20.500.12259/97002
Estimation of parameters of finite population L-statistics
Type of publication
Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)
Author(s)
Author | Affiliation | |
---|---|---|
LT | ||
Čiginas, Andrius | Vilniaus universitetas | LT |
Title [en]
Estimation of parameters of finite population L-statistics
Is part of
Nonlinear analysis : modelling and control. Vilnius : Vilnius University Institute of Mathematics and Informatics, Vol. 18, no. 3 (2013)
Date Issued
Date |
---|
2013 |
Publisher
Vilnius : Vilnius University Institute of Mathematics and Informatics
Is Referenced by
Extent
p. 327-343
Abstract (en)
We consider the estimation of important parameters of a linear combination of order statistics (L-statistic) in a finite population, emphasizing the influence of auxiliary information on the estimation accuracy. Assuming that values of an auxiliary variable are available for all population units, we construct calibrated estimators for the variance of L-statistics and for the parameters, which define one-term Edgeworth expansions of distributions of L-statistics. The gain of the new estimators is demonstrated by the simulation study.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Coverage Spatial
Lietuva / Lithuania (LT)
ISSN (of the container)
1392-5113
WOS
WOS:000325443600005
Other Identifier(s)
VDU02-000057757
Access Rights
Atviroji prieiga / Open Access
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
Nonlinear Analysis-Modelling and Control | 0.914 | 1.437 | 1.109 | 1.739 | 3 | 0.699 | 2013 | Q2 |
Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
---|---|---|---|---|---|---|---|---|
Nonlinear Analysis-Modelling and Control | 0.914 | 1.437 | 1.109 | 1.739 | 3 | 0.699 | 2013 | Q2 |
Journal | Cite Score | SNIP | SJR | Year | Quartile |
---|---|---|---|---|---|
Nonlinear Analysis: Modelling and Control | 1.8 | 0.936 | 0.48 | 2013 | Q2 |