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Constructing initial estimators in one-step estimation procedures of nonlinear regression. / Linke, Yu Yu; Borisov, I. S.

в: Statistics and Probability Letters, Том 120, 01.01.2017, стр. 87-94.

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Harvard

Linke, YY & Borisov, IS 2017, 'Constructing initial estimators in one-step estimation procedures of nonlinear regression', Statistics and Probability Letters, Том. 120, стр. 87-94. https://doi.org/10.1016/j.spl.2016.09.022

APA

Linke, Y. Y., & Borisov, I. S. (2017). Constructing initial estimators in one-step estimation procedures of nonlinear regression. Statistics and Probability Letters, 120, 87-94. https://doi.org/10.1016/j.spl.2016.09.022

Vancouver

Linke YY, Borisov IS. Constructing initial estimators in one-step estimation procedures of nonlinear regression. Statistics and Probability Letters. 2017 янв. 1;120:87-94. doi: 10.1016/j.spl.2016.09.022

Author

Linke, Yu Yu ; Borisov, I. S. / Constructing initial estimators in one-step estimation procedures of nonlinear regression. в: Statistics and Probability Letters. 2017 ; Том 120. стр. 87-94.

BibTeX

@article{c9c8bf23fd80408185ef4a8e2f4f1b66,
title = "Constructing initial estimators in one-step estimation procedures of nonlinear regression",
abstract = "We discuss an approach to construct explicitly calculable consistent estimators for parameters of some nonlinear regression models. The estimators of such a kind can be used as initial estimators in one-step estimation procedures for unknown parameters of these models.",
keywords = "Asymptotic normality, Initial estimator, Nonlinear regression, One-step M-estimator, α-consistency, LINEAR-REGRESSION, alpha(n)-consistency",
author = "Linke, {Yu Yu} and Borisov, {I. S.}",
note = "Publisher Copyright: {\textcopyright} 2016 Elsevier B.V.",
year = "2017",
month = jan,
day = "1",
doi = "10.1016/j.spl.2016.09.022",
language = "English",
volume = "120",
pages = "87--94",
journal = "Statistics and Probability Letters",
issn = "0167-7152",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - Constructing initial estimators in one-step estimation procedures of nonlinear regression

AU - Linke, Yu Yu

AU - Borisov, I. S.

N1 - Publisher Copyright: © 2016 Elsevier B.V.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - We discuss an approach to construct explicitly calculable consistent estimators for parameters of some nonlinear regression models. The estimators of such a kind can be used as initial estimators in one-step estimation procedures for unknown parameters of these models.

AB - We discuss an approach to construct explicitly calculable consistent estimators for parameters of some nonlinear regression models. The estimators of such a kind can be used as initial estimators in one-step estimation procedures for unknown parameters of these models.

KW - Asymptotic normality

KW - Initial estimator

KW - Nonlinear regression

KW - One-step M-estimator

KW - α-consistency

KW - LINEAR-REGRESSION

KW - alpha(n)-consistency

UR - http://www.scopus.com/inward/record.url?scp=84992522070&partnerID=8YFLogxK

U2 - 10.1016/j.spl.2016.09.022

DO - 10.1016/j.spl.2016.09.022

M3 - Article

AN - SCOPUS:84992522070

VL - 120

SP - 87

EP - 94

JO - Statistics and Probability Letters

JF - Statistics and Probability Letters

SN - 0167-7152

ER -

ID: 9056112