Interval regression by tolerance analysis approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10125747" target="_blank" >RIV/00216208:11320/12:10125747 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31140/12:00037032
Result on the web
<a href="http://dx.doi.org/10.1016/j.fss.2011.07.009" target="_blank" >http://dx.doi.org/10.1016/j.fss.2011.07.009</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.fss.2011.07.009" target="_blank" >10.1016/j.fss.2011.07.009</a>

Result language
angličtina
Original language name
Interval regression by tolerance analysis approach
Original language description
In interval linear regression analysis, we are given crisp or interval data and we are to determine appropriate interval regression parameters. There are various methods for interval regression; many of them possess the property that while some of the resulting interval regression parameters are very wide, the other parameters are crisp. This drawback is the main limiting factor for such methods and much effort has been devoted to overcoming it. We propose a method motivated by tolerance analysis in linear systems. Our method yields intervals for regression parameters the widths of which are proportional to an in-advance given vector of parameters.
Czech name
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Czech description
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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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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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