<div>Semiparametric regression model estimation method for pollution data under truncation scenario</div>

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Semiparametric regression model estimation method for pollution data under truncation scenario

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[1]HU Yuping,Lu Yiqing.Semiparametric regression model estimation method for pollution data under truncation scenario[J].Journal of Zhengzhou University (Engineering Science),2004,25(02):91-93,100.[doi:10.3969/j.issn.1671-6833.2004.02.022]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 25卷 Number of periods: 2004年02期 Page number: 91-93,100 Column: Public date: 1900-01-01

Title:: Semiparametric regression model estimation method for pollution data under truncation scenario

Author(s):: HU Yuping; Lu Yiqing

Keywords:: contamination parameters; truncation of data; semiparametric regression models; Pollution data

CLC:: -

DOI:: 10.3969/j.issn.1671-6833.2004.02.022

Abstract:: The semiparametric regression model YJ=XJΒ+G(TJ)+εJ,J=1,2,...,n was analyzed. where (xj,tj) is a fixed design with values on R×[0,1], β is an unknown parameter, g is an unknown function defined on [0,1], εj is random error, Eεj=0, Eε2j=σ21,...,,...,. Finally, the least squares method and moment estimation method are used to give the estimation of the α, β and pollution parameters of the two pollution modes under random truncation.

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Last Update: 1900-01-01