Econometric and Statistical Computing Using Ox
Francisco Cribari-Neto and
Spyros Zarkos
Computational Economics, 2003, vol. 21, issue 3, 277-295
Abstract:
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. Copyright Kluwer Academic Publishers 2003
Keywords: C programming language; graphics; matrix programming language; maximum likelihood estimation; Monte Carlo simulation; Ox (search for similar items in EconPapers)
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:21:y:2003:i:3:p:277-295
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DOI: 10.1023/A:1023902027800
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