Likelihood Ratio Tests in Linear Models with Linear Inequality Restrictions on Regression Coefficients
DOI:
https://doi.org/10.57805/revstat.v13i2.166Keywords:
likelihood ratio test, linear constrains, regression modelsAbstract
This paper develops statistical inference in linear models, dealing with the theory of maximum likelihood estimates and likelihood ratio tests under some linear inequality restrictions on the regression coefficients. The results are widely applicable to models used in environmental risk analysis and econometrics.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 REVSTAT-Statistical Journal
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.