Lorentz JÄNTSCHI and Elena ZAHARIEVA-STOYANOVA (2003) MATHLab as tool for Process Modeling

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MATHLab as tool for Process Modeling

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CONTRIBUTORS:

	Author:	Lorentz JÄNTSCHI (Technical University of Cluj-Napoca)
	Author:	Elena ZAHARIEVA-STOYANOVA

PROCEEDINGS TITLE:

International Conference on Materials Science and Engineering BRAMAT 2003, vol III

YEAR:

2003

PUB TYPE:

Conference Paper in Proceedings

PAGES:

137 - 142

SUBJECT(S):

informatics - applied; informatics - models implementation; mathematics - applied; mathematics - modeling; research - methodology

DISCIPLINE:

Engineering and Applied Sciences

HTTP:

http://lori.academicdirect.org/conferences/work_list.php?user=lori&id=71

LANGUAGE:

English

PUB ID:

103-435-258 (Last edited on 2007/06/16 05:59:02 GMT-6)

SPONSOR(S):

ABSTRACT:
MATHLab is very useful tool for data processing, especially for numerical processing of experimental data. Statistical processing of data is first one step for finding links between theoretical results and/or measured values. Most frequent used regression models are linear-based but some processes require nonlinear regression. Value of link strength is, most frequently given by correlation coefficient r and sum of residues. A MATHLab computer program is implemented. The program presented demonstrates the power of MATHLab in working with statistical processing, and can be considered as an example for future applications. The program draws an exportable figure of fitted data and regression curve and calculates the correlation coefficient r and sum of residues.

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