Algorithm for determination of estimates of parameters of regression straight polyline with objective elimination of outliers

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F10%3A00002974" target="_blank" >RIV/62690094:18470/10:00002974 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Algorithm for determination of estimates of parameters of regression straight polyline with objective elimination of outliers

Popis výsledku v původním jazyce

This paper deals with the algorithm development for estimate calculation of parameters of regressive straight polyline of the measured y = f(x) dependence, for example linear parts of dependence of temperature as a function of heat during melting. The regression straight polyline is determined by segments of the straight lines. The algorithm input data for regression straight lines calculation are experimentally measured sets of points in [x,y] coordinates. The regression straight lines equations are given by using the least-square method. The regression line equations are calculated with respect to the elimination of outliers. A decision, whether or not the measured point of functional dependence is remote from the linear segment, is done in an objective way on the basis of a statistical criterion, which is a part of the algorithm. The algorithm finishes by calculating parameters of the corresponding regression straight polyline and other statistical characteristics.

Název v anglickém jazyce

Algorithm for determination of estimates of parameters of regression straight polyline with objective elimination of outliers

Popis výsledku anglicky

This paper deals with the algorithm development for estimate calculation of parameters of regressive straight polyline of the measured y = f(x) dependence, for example linear parts of dependence of temperature as a function of heat during melting. The regression straight polyline is determined by segments of the straight lines. The algorithm input data for regression straight lines calculation are experimentally measured sets of points in [x,y] coordinates. The regression straight lines equations are given by using the least-square method. The regression line equations are calculated with respect to the elimination of outliers. A decision, whether or not the measured point of functional dependence is remote from the linear segment, is done in an objective way on the basis of a statistical criterion, which is a part of the algorithm. The algorithm finishes by calculating parameters of the corresponding regression straight polyline and other statistical characteristics.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

Information technology (ICIT 2010) : 2nd international conference

ISBN

978-83-60779-02-6

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

Politechnika Gdańska

Místo vydání

Gdaňsk

Místo konání akce

Gdansk University of Technology, Poland

Datum konání akce

1. 1. 2010

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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