Since 2014
The Journey from Entropy to Generalized Maximum Entropy
Journal of Quantitative Methods
View Archive Info| Field | Value | |
| Title |
The Journey from Entropy to Generalized Maximum Entropy
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| Creator |
Al-Nasser, Amjad D.
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| Description |
Currently we are witnessing the revaluation of huge data recourses that should be analyzed carefully to draw the right decisions about the world problems. Such big data are statistically risky since we know that the data are combination of (useful) signals and (useless) noise, which considered as unorganized facts that need to be filtered and processed. Using the signals only and discarding the noise means that the data restructured and reorganized to be useful and it is called information. So for any data set, we need only the information. In context of information theory, the entropy is used as a statistical measure to quantify the maximum amount of information in a random event.
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| Publisher |
Department of Quantitative Methods, School of Business and Economics, University of Management and Technology, Lahore Pakistan
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| Date |
2019-03-13
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Invited Commentary |
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| Format |
application/pdf
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| Identifier |
https://ojs.umt.edu.pk/index.php/jqm/article/view/32
10.29145/2019/jqm/030101 |
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| Source |
Journal of Quantitative Methods; Vol 3 No 1 (2019): February; 1-7
2522-2260 2522-2252 10.29145/JQM/31 |
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| Language |
eng
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| Relation |
https://ojs.umt.edu.pk/index.php/jqm/article/view/32/21
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| Rights |
Copyright (c) 2019 Amjad D. Al-Nasser
http://creativecommons.org/licenses/by/4.0 |
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