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

نویسندگان

  • Miguel Fonseca
  • João Tiago Mexia
  • Bimal K. Sinha
چکیده

• 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. Key-Words: • likelihood ratio test; linear constrains; regression models. AMS Subject Classification: • 62J05, 62F30. 104 M. Fonseca, J.T. Mexia, B.K. Sinha and R. Zmyślony LR Tests in Linear Models with Linear Inequality Restrictions 105

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تاریخ انتشار 2015