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Random interpolation in the theory of experimental design. / Ermakov, Sergei M.

In: Computational Statistics and Data Analysis, Vol. 8, No. 1, 05.1989, p. 75-80.

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Ermakov, SM 1989, 'Random interpolation in the theory of experimental design', Computational Statistics and Data Analysis, vol. 8, no. 1, pp. 75-80. https://doi.org/10.1016/0167-9473(89)90068-6

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Ermakov, Sergei M. / Random interpolation in the theory of experimental design. In: Computational Statistics and Data Analysis. 1989 ; Vol. 8, No. 1. pp. 75-80.

BibTeX

@article{bc7f3f53521c41a8aaeadd72031d581e,
title = "Random interpolation in the theory of experimental design",
abstract = "This work represents a survey of some results of the theory of random interpolation which enable us to set and to solve in some cases a problem of the robust design regression experiment (with respect to a systematic error). In case of a regression function being a linear combination of Haar functions it succeeds in solving the comparison problem of procedures interpolation by the method of least squares entirely. Obtained yields allow to construct randomized robust designs for the regression experiment of LSM estimators and to compare their goodness.",
keywords = "Random interpolation, Regression experiment, Robust design",
author = "Ermakov, {Sergei M.}",
note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.",
year = "1989",
month = may,
doi = "10.1016/0167-9473(89)90068-6",
language = "English",
volume = "8",
pages = "75--80",
journal = "Computational Statistics and Data Analysis",
issn = "0167-9473",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - Random interpolation in the theory of experimental design

AU - Ermakov, Sergei M.

N1 - Copyright: Copyright 2014 Elsevier B.V., All rights reserved.

PY - 1989/5

Y1 - 1989/5

N2 - This work represents a survey of some results of the theory of random interpolation which enable us to set and to solve in some cases a problem of the robust design regression experiment (with respect to a systematic error). In case of a regression function being a linear combination of Haar functions it succeeds in solving the comparison problem of procedures interpolation by the method of least squares entirely. Obtained yields allow to construct randomized robust designs for the regression experiment of LSM estimators and to compare their goodness.

AB - This work represents a survey of some results of the theory of random interpolation which enable us to set and to solve in some cases a problem of the robust design regression experiment (with respect to a systematic error). In case of a regression function being a linear combination of Haar functions it succeeds in solving the comparison problem of procedures interpolation by the method of least squares entirely. Obtained yields allow to construct randomized robust designs for the regression experiment of LSM estimators and to compare their goodness.

KW - Random interpolation

KW - Regression experiment

KW - Robust design

UR - http://www.scopus.com/inward/record.url?scp=45349111172&partnerID=8YFLogxK

U2 - 10.1016/0167-9473(89)90068-6

DO - 10.1016/0167-9473(89)90068-6

M3 - Article

AN - SCOPUS:45349111172

VL - 8

SP - 75

EP - 80

JO - Computational Statistics and Data Analysis

JF - Computational Statistics and Data Analysis

SN - 0167-9473

IS - 1

ER -

ID: 74203066