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

Yu Yu Linke; I. S. Borisov

doi:10.1016/j.spl.2016.09.022

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

Yu Yu Linke, I. S. Borisov

Кафедра теории вероятностей и математической статистики ММФ

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

7 Цитирования (Scopus)

Аннотация

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.

Язык оригинала	английский
Страницы (с-по)	87-94
Число страниц	8
Журнал	Statistics and Probability Letters
Том	120
DOI	https://doi.org/10.1016/j.spl.2016.09.022
Состояние	Опубликовано - 1 янв 2017

Доступ к документу

10.1016/j.spl.2016.09.022

Другие файлы и ссылки

Link to publication in Scopus

Fingerprint

Подробные сведения о темах исследования «Constructing initial estimators in one-step estimation procedures of nonlinear regression». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать

@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.}",

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.",

}

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.

Результат исследования: Научные публикации в периодических изданиях › статья › рецензирование

TY - JOUR

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

AU - Linke, Yu Yu

AU - Borisov, I. S.

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 -