Abstract
The report presents an analysis of possible calculation procedure for automated data fitting. The problem is defined in the first part, and it is shown that solution demands optimisation under invariance conditions (stochastic errors) which is part of theory of planning optimal experiments. A rough review of knowledge in this field is given. Second part of the report some statistical and optimisation methods are analysed in more detail in order to be used for automated fitting. Evaluation of possible relevant calculation procedure is presented. Izvestaj prikazuje analizu mogucnosti realizacije racunskog postupka za automatizovano fitovanje poodataka. U prvom delu izvestaja razmatran je postavljeni problem i ukazano je da njegovo resavanje zahteva optimizaciju u uslovima neodredjenosti (slucajnih gresaka) sto spada u okvir teorije planiranja optimalnih eksperimenata. Dat je grubi pregled stepena izucenosti ove probblematike. U drugom delu izvestaja detaljnije su razmotrene neke statisticke i optimizacione metode koje bi se koristile u cilju automatizovanog fitovanja. Na osnovu toga data je procena mogucnosti realizacije odgovarajuuceg racunskog postupka. (author)
Altiparmakov, D;
Zavaljevski, N;
Dasic, N
[1]
- Boris Kidric Institute of Nuclear Sciences Vinca, Beograd (Yugoslavia)
Citation Formats
Altiparmakov, D, Zavaljevski, N, and Dasic, N.
Analysis of possible application of regression analysis method in automation of fitting numerical data; Analiza mogucnosti primene metoda regresione analize u cilju automatizovanog fitovanja numerickih podataka.
Serbia: N. p.,
1988.
Web.
Altiparmakov, D, Zavaljevski, N, & Dasic, N.
Analysis of possible application of regression analysis method in automation of fitting numerical data; Analiza mogucnosti primene metoda regresione analize u cilju automatizovanog fitovanja numerickih podataka.
Serbia.
Altiparmakov, D, Zavaljevski, N, and Dasic, N.
1988.
"Analysis of possible application of regression analysis method in automation of fitting numerical data; Analiza mogucnosti primene metoda regresione analize u cilju automatizovanog fitovanja numerickih podataka."
Serbia.
@misc{etde_20918995,
title = {Analysis of possible application of regression analysis method in automation of fitting numerical data; Analiza mogucnosti primene metoda regresione analize u cilju automatizovanog fitovanja numerickih podataka}
author = {Altiparmakov, D, Zavaljevski, N, and Dasic, N}
abstractNote = {The report presents an analysis of possible calculation procedure for automated data fitting. The problem is defined in the first part, and it is shown that solution demands optimisation under invariance conditions (stochastic errors) which is part of theory of planning optimal experiments. A rough review of knowledge in this field is given. Second part of the report some statistical and optimisation methods are analysed in more detail in order to be used for automated fitting. Evaluation of possible relevant calculation procedure is presented. Izvestaj prikazuje analizu mogucnosti realizacije racunskog postupka za automatizovano fitovanje poodataka. U prvom delu izvestaja razmatran je postavljeni problem i ukazano je da njegovo resavanje zahteva optimizaciju u uslovima neodredjenosti (slucajnih gresaka) sto spada u okvir teorije planiranja optimalnih eksperimenata. Dat je grubi pregled stepena izucenosti ove probblematike. U drugom delu izvestaja detaljnije su razmotrene neke statisticke i optimizacione metode koje bi se koristile u cilju automatizovanog fitovanja. Na osnovu toga data je procena mogucnosti realizacije odgovarajuuceg racunskog postupka. (author)}
place = {Serbia}
year = {1988}
month = {Dec}
}
title = {Analysis of possible application of regression analysis method in automation of fitting numerical data; Analiza mogucnosti primene metoda regresione analize u cilju automatizovanog fitovanja numerickih podataka}
author = {Altiparmakov, D, Zavaljevski, N, and Dasic, N}
abstractNote = {The report presents an analysis of possible calculation procedure for automated data fitting. The problem is defined in the first part, and it is shown that solution demands optimisation under invariance conditions (stochastic errors) which is part of theory of planning optimal experiments. A rough review of knowledge in this field is given. Second part of the report some statistical and optimisation methods are analysed in more detail in order to be used for automated fitting. Evaluation of possible relevant calculation procedure is presented. Izvestaj prikazuje analizu mogucnosti realizacije racunskog postupka za automatizovano fitovanje poodataka. U prvom delu izvestaja razmatran je postavljeni problem i ukazano je da njegovo resavanje zahteva optimizaciju u uslovima neodredjenosti (slucajnih gresaka) sto spada u okvir teorije planiranja optimalnih eksperimenata. Dat je grubi pregled stepena izucenosti ove probblematike. U drugom delu izvestaja detaljnije su razmotrene neke statisticke i optimizacione metode koje bi se koristile u cilju automatizovanog fitovanja. Na osnovu toga data je procena mogucnosti realizacije odgovarajuuceg racunskog postupka. (author)}
place = {Serbia}
year = {1988}
month = {Dec}
}