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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2969

Title: Development of Mathematical Competences in Regression Models Through Metaprogramming in SAS
Authors: Noncheva, Veska
Atanasova, Maria
Keywords: linear regression
macros and macro-variables
SAS software
Issue Date: 1-Jun-2018
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences, Association for the Development of the Information Society
Citation: Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, June, 2018, 271p-280p
Series/Report no.: ADIS;2018
Abstract: Mathematics is a multi-faceted subject. People can develop competences which can be grouped in two categories: competences concerning the ability to solve real world problems by means of mathematical modeling and competences in the ability to use mathematical tools through programming. This article describes an approach to discovering dependences based on empirical data by means of linear regression models and metaprogramming in SAS.
Description: Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, June, 2018
URI: http://hdl.handle.net/10525/2969
ISSN: 1314-0752
Appears in Collections:ADIS 2018

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