Likelihood Ratio Tests in Linear Models with Linear Inequality Restrictions on Regression Coefficients
Miguel Fonseca, João Tiago Mexia, Bimal K. Sinha and 1 more
Revstat Statistical Journal · 2015
doi:10.57805/revstat.v13i2.166 (opens in a new tab)
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Abstract
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.
Abstract licence: CC BY
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