A comparison between two competing fixed parameter constrained general linear models with new regressors-Reference-Cited by-同舟云学术

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A comparison between two competing fixed parameter constrained general linear models with new regressors

Published:2018-05-11 Issue:4 Volume:52 Page:769-781
ISSN:0233-1888
Container-title:Statistics
language:en
Short-container-title:Statistics

Author:

Lu Changli¹,Sun Yuqin¹,Tian Yongge²³

Affiliation:

1. College of Economics and Management, Shanghai Maritime University, Shanghai, People's Republic of China

2. Shanghai Business School, Shanghai, People's Republic of China

3. Central University of Finance and Economics, Beijing, People's Republic of China

Funder

General Program of China National Social Science Fund

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02331888.2018.1469021

Reference35 articles.

1. Characterizations of Estimability in the General Linear Model

2. Inverse-partitioned-matrix method for the general Gauss-Markov model with linear restrictions

3. Updates of statistics in a general linear model: a statistical interpretation and applications

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