ON A LARGE SAMPLE PROBLEM IN NONLINEAR REGRESSION

Chunling Liu

doi:10.1016/S0252-9602(06)60061-1

ON A LARGE SAMPLE PROBLEM IN NONLINEAR REGRESSION

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

Assume that in the nonlinear regression model, independent variable sequence {xi, i ≥ 1} is a known constant-vector sequence. This article proposes a condition on {xi}, which can be tested and verified easily. The condition is essential for proving the consistency and asymptotic normality of the estimator.

Original language	English
Pages (from-to)	385-394
Number of pages	10
Journal	Acta Mathematica Scientia
Volume	26
Issue number	3
DOIs	https://doi.org/10.1016/S0252-9602(06)60061-1
Publication status	Published - 27 Sept 2006
Externally published	Yes

Keywords

equicontinuous
large sample theory
Nonlinear regression
w.p.1.

ASJC Scopus subject areas

General Mathematics

More information

10.1016/S0252-9602(06)60061-1

Cite this

@article{610c033b1d1841a18a4704cf99794092,

title = "ON A LARGE SAMPLE PROBLEM IN NONLINEAR REGRESSION",

abstract = "Assume that in the nonlinear regression model, independent variable sequence {xi, i ≥ 1} is a known constant-vector sequence. This article proposes a condition on {xi}, which can be tested and verified easily. The condition is essential for proving the consistency and asymptotic normality of the estimator.",

keywords = "equicontinuous, large sample theory, Nonlinear regression, w.p.1.",

author = "Chunling Liu",

year = "2006",

month = sep,

day = "27",

doi = "10.1016/S0252-9602(06)60061-1",

language = "English",

volume = "26",

pages = "385--394",

journal = "Acta Mathematica Scientia",

issn = "0252-9602",

publisher = "Elsevier BV",

number = "3",

}

TY - JOUR

T1 - ON A LARGE SAMPLE PROBLEM IN NONLINEAR REGRESSION

AU - Liu, Chunling

PY - 2006/9/27

Y1 - 2006/9/27

N2 - Assume that in the nonlinear regression model, independent variable sequence {xi, i ≥ 1} is a known constant-vector sequence. This article proposes a condition on {xi}, which can be tested and verified easily. The condition is essential for proving the consistency and asymptotic normality of the estimator.

AB - Assume that in the nonlinear regression model, independent variable sequence {xi, i ≥ 1} is a known constant-vector sequence. This article proposes a condition on {xi}, which can be tested and verified easily. The condition is essential for proving the consistency and asymptotic normality of the estimator.

KW - equicontinuous

KW - large sample theory

KW - Nonlinear regression

KW - w.p.1.

UR - http://www.scopus.com/inward/record.url?scp=33748917292&partnerID=8YFLogxK

U2 - 10.1016/S0252-9602(06)60061-1

DO - 10.1016/S0252-9602(06)60061-1

M3 - Journal article

SN - 0252-9602

VL - 26

SP - 385

EP - 394

JO - Acta Mathematica Scientia

JF - Acta Mathematica Scientia

IS - 3

ER -

ON A LARGE SAMPLE PROBLEM IN NONLINEAR REGRESSION

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this