Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/9757
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Garciá-Bárzana, Marta | - |
dc.contributor.author | Colubi, Ana | - |
dc.contributor.author | Kontoghiorghes, Erricos John | - |
dc.date.accessioned | 2017-02-17T10:51:32Z | - |
dc.date.available | 2017-02-17T10:51:32Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Towards advanced data analysis by combining soft computing and statistics, 2013, pp. 43-52 | en_US |
dc.identifier.isbn | 978-3-642-30278-7 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/9757 | - |
dc.description.abstract | A linear regression model for interval data based on the natural interval-arithmetic has recently been proposed. Interval data can be identified with 2-dimensional points in ℝ x ℝ+, since they can be parametrized by its mid-point and its semi-amplitude or spread, which is non-negative. The model accounts separately for the contribution of the mid-points and the spreads through a single equation. The least squares estimation becomes a quadratic optimization problem subject to linear constraints, which guarantee the existence of the residuals. Several estimators are discussed. Namely, a closed-form estimator, the restricted least-squares estimator, an empirical estimator and an estimator based on separate models for mids and spreads have been investigated. Real-life examples are considered. Simulations are performed in order to assess the consistency and the bias of the estimators. Results indicate that the numerical and the closed-form estimator are appropriate in most of cases, while the empirical estimator and the one based on separate models are not always suitable. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © Springer-Verlag 2013. | en_US |
dc.subject | Interval data | en_US |
dc.subject | Regression model | en_US |
dc.title | On the estimation of the regression model M for interval data | en_US |
dc.type | Book Chapter | en_US |
dc.collaboration | Universidad de Oviedo | en_US |
dc.collaboration | Australian Catholic University | en_US |
dc.subject.category | Economics and Business | en_US |
dc.country | Spain | en_US |
dc.country | Australia | en_US |
dc.subject.field | Social Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1007/978-3-642-30278-7_4 | en_US |
cut.common.academicyear | 2013-2014 | en_US |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_3248 | - |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairetype | bookPart | - |
crisitem.author.dept | Department of Finance, Accounting and Management Science | - |
crisitem.author.faculty | Faculty of Tourism Management, Hospitality and Entrepreneurship | - |
crisitem.author.orcid | 0000-0001-9704-9510 | - |
crisitem.author.parentorg | Faculty of Management and Economics | - |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
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