On the possibilistic approach to linear regression models involving uncertain, indeterminate or interval data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10159427" target="_blank" >RIV/00216208:11320/13:10159427 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31140/13:00041479
Result on the web
<a href="http://dx.doi.org/10.1016/j.ins.2013.04.035" target="_blank" >http://dx.doi.org/10.1016/j.ins.2013.04.035</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ins.2013.04.035" target="_blank" >10.1016/j.ins.2013.04.035</a>
Alternative languages
Result language
angličtina
Original language name
On the possibilistic approach to linear regression models involving uncertain, indeterminate or interval data
Original language description
We consider linear regression models where both input data (the observations of independent variables) and output data (the observations of the dependent variable) are affected by loss of information caused by uncertainty, indeterminacy, rounding or censoring. Instead of real-valued (crisp) data, only intervals are available. We study a possibilistic generalization of the least squares estimator, so called OLS-set for the interval model. Investigation of the OLS-set allows us to quantify whether the replacement of real-valued (crisp) data by interval values can have a significant impact on our knowledge of the value of the OLS estimator. We show that in the general case, very elementary questions about properties of the OLS-set are computationally intractable (assuming P - NP). We also focus on restricted versions of the general interval linear regression model to the crisp input case. Taking the advantage of the fact that in the crisp input - interval output model the OLS-set is a zon
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
BB - Applied statistics, operational research
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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Information Sciences
ISSN
0020-0255
e-ISSN
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Volume of the periodical
244
Issue of the periodical within the volume
May
Country of publishing house
US - UNITED STATES
Number of pages
22
Pages from-to
26-47
UT code for WoS article
000321479800002
EID of the result in the Scopus database
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