How to deal with regression models with a weak nonlinearity

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F01%3A00001381" target="_blank" >RIV/61989592:15310/01:00001381 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

How to deal with regression models with a weak nonlinearity

Original language description

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 allready developed. The aim of paper is to demonstrate the behaviour of the program for utilization of these criteria.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BA - General mathematics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2001

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Discussione Mathematicae

ISSN

1234-3072

e-ISSN

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Volume of the periodical

21

Issue of the periodical within the volume

1

Country of publishing house

PL - POLAND

Number of pages

28

Pages from-to

21-48

UT code for WoS article

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EID of the result in the Scopus database

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