How to deal with regression models with a weak nonlinearity
Eva Tesaríková ; Lubomír Kubáček
Discussiones Mathematicae Probability and Statistics, Tome 21 (2001), p. 21-48 / Harvested from The Polish Digital Mathematics Library
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If a nonlinear regression model is linearized in a non-sufficient small neighbourhood of the actual parameter, then all statistical inferences may be deteriorated. Some criteria how to recognize this are already developed. The aim of the paper is to demonstrate the behaviour of the program for utilization of these criteria.

Publié le : 2001-01-01
EUDML-ID : urn:eudml:doc:287641 
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Eva Tesaríková; Lubomír Kubáček. How to deal with regression models with a weak nonlinearity. Discussiones Mathematicae Probability and Statistics, Tome 21 (2001) pp. 21-48. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-doi-10_7151_dmps_1018/

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