Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/8187
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Reis, Marco S. | - |
dc.contributor.author | Saraiva, Pedro M. | - |
dc.date.accessioned | 2009-02-09T12:16:01Z | - |
dc.date.available | 2009-02-09T12:16:01Z | - |
dc.date.issued | 2004 | en_US |
dc.identifier.citation | Journal of Chemometrics. 18:12 (2004) 526-536 | en_US |
dc.identifier.uri | https://hdl.handle.net/10316/8187 | - |
dc.description.abstract | With the development of measurement instrumentation methods and metrology, one is very often able to rigorously specify the uncertainty associated with each measured value (e.g. concentrations, spectra, process sensors). The use of this information, along with the corresponding raw measurements, should, in principle, lead to more sound ways of performing data analysis, since the quality of data can be explicitly taken into account. This should be true, in particular, when noise is heteroscedastic and of a large magnitude. In this paper we focus on alternative multivariate linear regression methods conceived to take into account data uncertainties. We critically investigate their prediction and parameter estimation capabilities and suggest some modifications of well-established approaches. All alternatives are tested under simulation scenarios that cover different noise and data structures. The results thus obtained provide guidelines on which methods to use and when. Interestingly enough, some of the methods that explicitly incorporate uncertainty information in their formulations tend to present not as good performances in the examples studied, whereas others that do not do so present an overall good performance. Copyright © 2005 John Wiley & Sons, Ltd. | en_US |
dc.language.iso | eng | eng |
dc.rights | openAccess | eng |
dc.title | A comparative study of linear regression methods in noisy environments | en_US |
dc.type | article | en_US |
dc.identifier.doi | 10.1002/cem.897 | en_US |
uc.controloAutoridade | Sim | - |
item.fulltext | Com Texto completo | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
crisitem.author.researchunit | CIEPQPF – Chemical Process Engineering and Forest Products Research Centre | - |
crisitem.author.researchunit | CIEPQPF – Chemical Process Engineering and Forest Products Research Centre | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.parentresearchunit | Faculty of Sciences and Technology | - |
crisitem.author.orcid | 0000-0002-4997-8865 | - |
crisitem.author.orcid | 0000-0002-4465-4597 | - |
Appears in Collections: | FCTUC Eng.Química - Artigos em Revistas Internacionais |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.