Use Of The Mean Quadratic Error Of Prediction For The Construction Of Biased Linear-Models
dc.contributor.author | Militký, Jiří | |
dc.contributor.author | Meloun, Milan | |
dc.date.accessioned | 2016-07-08 | |
dc.date.available | 2016-07-08 | |
dc.date.issued | 1993 | |
dc.description.abstract | The main practical problems caused by multi-collinearity are reviewed. The biased estimators based on the generalization of principal components for avoiding multi-collinearity problems are described. The mean quadratic error of prediction criterion is used for the selection of suitable bias. Some advantages of biased regression are demonstrated on the problem of intercept estimation in a polynomial model. | en |
dc.format | text | |
dc.identifier.doi | 10.1016/0003-2670(93)80439-R | |
dc.identifier.issn | 0003-2670 | |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/16585 | |
dc.language.iso | en | |
dc.publisher | Elsevier Science Bv | |
dc.relation.ispartof | Analytica Chimica Acta | |
dc.source | j-wok | |
dc.subject | OPTIMIZATION METHODS | en |
dc.subject | Biased linear models | en |
dc.subject | MEAN QUADRATIC ERROR OF PREDICTION | en |
dc.subject | MULTI-COLLINEARITY | en |
dc.title | Use Of The Mean Quadratic Error Of Prediction For The Construction Of Biased Linear-Models | en |
dc.type | article | |
local.access | open access | |
local.citation.epage | 271 | |
local.citation.spage | 267 | |
local.department | Department of Textile Materials | |
local.faculty | Faculty of Textile Engineering | |
local.fulltext | yes | |
local.identifier.wok | A1993LE81000011 | |
local.note | nefunguje RIV | |
local.relation.issue | 2 | |
local.relation.volume | 277 |
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