Revstat Statistical Journal (Jun 2015)

Likelihood Ratio Tests in Linear Models with Linear Inequality Restrictions on Regression Coefficients

  • Miguel Fonseca ,
  • João Tiago Mexia ,
  • Bimal K. Sinha ,
  • Roman Zmyślony

DOI
https://doi.org/10.57805/revstat.v13i2.166
Journal volume & issue
Vol. 13, no. 2

Abstract

Read online

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.

Keywords