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Excess And Saturated D-optimal Designs For The Rational Model. / Shpilev, Petr Valerievich ; Grigoriev, Yuri Dmitrievich; Melas, Viatcheslav Borisovich .

10th International Workshop on Simulation and Statistics: Workshop booklet. 2019. стр. 42.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийиная часть книжной публикациинаучная

Harvard

Shpilev, PV, Grigoriev, YD & Melas, VB 2019, Excess And Saturated D-optimal Designs For The Rational Model. в 10th International Workshop on Simulation and Statistics: Workshop booklet. стр. 42, 10th International Workshop on Simulation and Statistics, Salzburg, Австралия, 2/09/19. <http://datascience.sbg.ac.at/SimStatSalzburg2019/SimStat2019BoA.pdf>

APA

Shpilev, P. V., Grigoriev, Y. D., & Melas, V. B. (2019). Excess And Saturated D-optimal Designs For The Rational Model. в 10th International Workshop on Simulation and Statistics: Workshop booklet (стр. 42) http://datascience.sbg.ac.at/SimStatSalzburg2019/SimStat2019BoA.pdf

Vancouver

Shpilev PV, Grigoriev YD, Melas VB. Excess And Saturated D-optimal Designs For The Rational Model. в 10th International Workshop on Simulation and Statistics: Workshop booklet. 2019. стр. 42

Author

Shpilev, Petr Valerievich ; Grigoriev, Yuri Dmitrievich ; Melas, Viatcheslav Borisovich . / Excess And Saturated D-optimal Designs For The Rational Model. 10th International Workshop on Simulation and Statistics: Workshop booklet. 2019. стр. 42

BibTeX

@inbook{f2e7b63fec094efda2e64668a40c2557,
title = "Excess And Saturated D-optimal Designs For The Rational Model",
abstract = "The problem of constructing nonsingular saturated optimal designs (i.e. optimal designs with the number of support points which is equal to the number of parameters) is quite important since the use of such designs allows to decrease experimental expenses. On the other hand, excess optimal designs (i. e. optimal designs with the number of support points which is greater than the number of parameters) are useful in practice too, since they can be used to verify the adequateness of the model. For a rational two-dimensional nonlinear in parameters model used in analytical chemistry, we investigate how homothetic transformations of the design space affect the number of support points in the optimal designs. We show that there exist two types of optimal designs: a saturated design and an excess design. The saturated optimal designs are constructed explicitly. Numerical methods for constructing excess optimal designs are used.",
author = "Shpilev, {Petr Valerievich} and Grigoriev, {Yuri Dmitrievich} and Melas, {Viatcheslav Borisovich}",
year = "2019",
language = "English",
pages = "42",
booktitle = "10th International Workshop on Simulation and Statistics",
note = "10th International Workshop on Simulation and Statistics<br/> ; Conference date: 02-09-2019 Through 06-09-2019",
url = "http://datascience.sbg.ac.at/SimStatSalzburg2019/index.html, https://www.osg.or.at/main.asp?VID=1&kat1=87&kat2=690&NID=3944",

}

RIS

TY - CHAP

T1 - Excess And Saturated D-optimal Designs For The Rational Model

AU - Shpilev, Petr Valerievich

AU - Grigoriev, Yuri Dmitrievich

AU - Melas, Viatcheslav Borisovich

PY - 2019

Y1 - 2019

N2 - The problem of constructing nonsingular saturated optimal designs (i.e. optimal designs with the number of support points which is equal to the number of parameters) is quite important since the use of such designs allows to decrease experimental expenses. On the other hand, excess optimal designs (i. e. optimal designs with the number of support points which is greater than the number of parameters) are useful in practice too, since they can be used to verify the adequateness of the model. For a rational two-dimensional nonlinear in parameters model used in analytical chemistry, we investigate how homothetic transformations of the design space affect the number of support points in the optimal designs. We show that there exist two types of optimal designs: a saturated design and an excess design. The saturated optimal designs are constructed explicitly. Numerical methods for constructing excess optimal designs are used.

AB - The problem of constructing nonsingular saturated optimal designs (i.e. optimal designs with the number of support points which is equal to the number of parameters) is quite important since the use of such designs allows to decrease experimental expenses. On the other hand, excess optimal designs (i. e. optimal designs with the number of support points which is greater than the number of parameters) are useful in practice too, since they can be used to verify the adequateness of the model. For a rational two-dimensional nonlinear in parameters model used in analytical chemistry, we investigate how homothetic transformations of the design space affect the number of support points in the optimal designs. We show that there exist two types of optimal designs: a saturated design and an excess design. The saturated optimal designs are constructed explicitly. Numerical methods for constructing excess optimal designs are used.

M3 - Other chapter contribution

SP - 42

BT - 10th International Workshop on Simulation and Statistics

T2 - 10th International Workshop on Simulation and Statistics<br/>

Y2 - 2 September 2019 through 6 September 2019

ER -

ID: 50668047