Sizing up the regions of unique minima in the least squares nonlinear regression
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2018
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Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky
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Abstract
In nonlinear regression analysis, the residual sum of squares may possess multiple local minima. This complicates finding the global minimum and adversely affects reliability of the relevant statistical methods. Identifying and sizing up the regions of a readily identifiable global minimum (RIGM) is therefore of both theo- retical and practical interest. This paper addresses the issue by using equidistant function previously introduced by the first two co-authors of this paper.
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Mathematics for Applications. 2018 vol. 7, č. 1, s. 41-52. ISSN 1805-3629
http://ma.fme.vutbr.cz/archiv/7_1/ma_7_1_4_khinkis_et_al_final.pdf
http://ma.fme.vutbr.cz/archiv/7_1/ma_7_1_4_khinkis_et_al_final.pdf
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky