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 2003C programming language, graphics, matrix programming language, maximum likelihood estimation, Monte Carlo simulation, Ox ,
Rather than process estimation results in other applications, such as spreadsheets, this article sho...
The authors consider teaching statistics and econometrics with the use of mathematical methods. The ...
Abstract. The paper makes up the second part of the series of articles aimed at establishing the use...
Ox™ version 6 is an object-oriented matrix programming language. It is an important tool for statist...
This paper reviews the need for powerful computing facilities in econometrics, focusing on concrete ...
This article reviews the object-oriented features of the Ox matrix programming language. We discuss ...
Introduction to Ox™ first introduces the Ox environment. Syntax, operators, program flow and program...
Parallel computation has a long history in econometric computing, but is not at all wide spread. We ...
OxMetrics™ is an interactive graphics-oriented program, which acts as “front-end” to a series of int...
The computational properties of an econometric method are fundamental determinants of its importance...
2. Why are matrix methods useful in econometrics? 5 2.1. Linear systems and quadratic forms 5 2.2. V...
This paper shows how a high level matrix programming language may be used to perform Monte Carlo sim...
This paper shows how a high level matrix programming language may be used to perform Monte Carlo sim...
This book demonstrates the importance of computer-generated statistical analyses in behavioral scien...
This book describes an interactive statistical computing environment called 1 XploRe. As the name su...
Rather than process estimation results in other applications, such as spreadsheets, this article sho...
The authors consider teaching statistics and econometrics with the use of mathematical methods. The ...
Abstract. The paper makes up the second part of the series of articles aimed at establishing the use...
Ox™ version 6 is an object-oriented matrix programming language. It is an important tool for statist...
This paper reviews the need for powerful computing facilities in econometrics, focusing on concrete ...
This article reviews the object-oriented features of the Ox matrix programming language. We discuss ...
Introduction to Ox™ first introduces the Ox environment. Syntax, operators, program flow and program...
Parallel computation has a long history in econometric computing, but is not at all wide spread. We ...
OxMetrics™ is an interactive graphics-oriented program, which acts as “front-end” to a series of int...
The computational properties of an econometric method are fundamental determinants of its importance...
2. Why are matrix methods useful in econometrics? 5 2.1. Linear systems and quadratic forms 5 2.2. V...
This paper shows how a high level matrix programming language may be used to perform Monte Carlo sim...
This paper shows how a high level matrix programming language may be used to perform Monte Carlo sim...
This book demonstrates the importance of computer-generated statistical analyses in behavioral scien...
This book describes an interactive statistical computing environment called 1 XploRe. As the name su...
Rather than process estimation results in other applications, such as spreadsheets, this article sho...
The authors consider teaching statistics and econometrics with the use of mathematical methods. The ...
Abstract. The paper makes up the second part of the series of articles aimed at establishing the use...