首页   按字顺浏览 期刊浏览 卷期浏览 Minimax Linear and Quadratic Estimators in Semiparametric Multivariate Regression Models
Minimax Linear and Quadratic Estimators in Semiparametric Multivariate Regression Models

 

作者: Olaf Bunke,  

 

期刊: Statistics  （Taylor Available online 1999）
卷期: Volume 33, issue 1  

页码: 1-35

 

ISSN:0233-1888

 

年代: 1999

 

DOI:10.1080/02331889908802679

 

出版商: Gordon & Breach Science Publishers

 

关键词: Primary: 62T05;62J02;62G05;Regression analysis;semiparametric models;nonparametric regression;variance estimation;covariance estimation

 

数据来源: Taylor

 

摘要:

Multivariate linear models with ellipsoidal restrictions are introduced for the modelling of semiparametric regression situations with smooth regression functions. Nonparametric and generalized additive models are covered as special cases.

 

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