The C programming language
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Computational Economics - Special issue on programming languages
Programming Languages in Economics
Computational Economics - Special issue on programming languages
Econometric foundations
Learning and Practicing Econometrics: SAS Handbook
Learning and Practicing Econometrics: SAS Handbook
Improved statistical inference for the two-parameter Birnbaum-Saunders distribution
Computational Statistics & Data Analysis
Improved testing inference in mixed linear models
Computational Statistics & Data Analysis
Improved point and interval estimation for a beta regression model
Computational Statistics & Data Analysis
Improved likelihood inference in Birnbaum-Saunders regressions
Computational Statistics & Data Analysis
Discovering promising regions to help global numerical optimization algorithms
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
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This paper reviews the matrix programminglanguage Ox from the viewpoint of an econometrician/statistician.We focus on scientific programming using Ox and discussexamples of possible interest to econometricians and statisticians, such as random number generation, maximum likelihood estimation, andMonte Carlo simulation. Ox is a remarkable matrix programming language which is well suited to research and teaching in econometrics and statistics.