Nonparametric Estimation of Regression Parameters in Measurement Error Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F09%3A%230000236" target="_blank" >RIV/46747885:24510/09:#0000236 - isvavai.cz</a>
Alternative codes found
RIV/67985807:_____/09:00348875
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Nonparametric Estimation of Regression Parameters in Measurement Error Models
Original language description
This paper develops the theory of rank estimation for the regression parameters in measurement error models. Using the standard linear rank statistics, R-estimators are defined and their asymptotic properties are studied as robust alternatives to least squares estimators. Some simulation results are presented to show the effectiveness of the R-estimators.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Metron
ISSN
0026-1424
e-ISSN
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Volume of the periodical
67
Issue of the periodical within the volume
2
Country of publishing house
IT - ITALY
Number of pages
20
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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