A Sketch of Statistical Meta-Computing as a Data Integration Framework

Statistics defines itself as a methodological discipline providing a rigorous, formal framework for scientific empirism based on a mapping of contingent observable phenomena to (real) numbers that can be dealt with, or analysed, computationally. Application of the statistical methodology of data red...

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Main Author:	Karl A. Froeschl
Format:	Article
Language:	English
Published:	Austrian Statistical Society 2016-04-01
Series:	Austrian Journal of Statistics
Online Access:	http://www.ajs.or.at/index.php/ajs/article/view/437

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spelling	doaj-deca79a803714dcea6eb5d2d0122d19a2021-04-22T12:33:18ZengAustrian Statistical SocietyAustrian Journal of Statistics1026-597X2016-04-01331&210.17713/ajs.v33i1&2.437A Sketch of Statistical Meta-Computing as a Data Integration FrameworkKarl A. Froeschl0ec3 Electronic Commerce Competence Center, ViennaStatistics defines itself as a methodological discipline providing a rigorous, formal framework for scientific empirism based on a mapping of contingent observable phenomena to (real) numbers that can be dealt with, or analysed, computationally. Application of the statistical methodology of data reduction, in turn, requires some representation of the problem context. Most of the time, this amounts to encoding (a part of) the problem context of observation data into another layer of data – called metadata. Based on metadata, procedures of data analysis might be enhanced to encompass also the analysis and transformation of metadata alongside the accompanied data itself. The paper sketches the outline of a systematic approach to statistical “meta-computing” as a dual-mode proposal of statistical data processing.http://www.ajs.or.at/index.php/ajs/article/view/437
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Karl A. Froeschl
spellingShingle	Karl A. Froeschl A Sketch of Statistical Meta-Computing as a Data Integration Framework Austrian Journal of Statistics
author_facet	Karl A. Froeschl
author_sort	Karl A. Froeschl
title	A Sketch of Statistical Meta-Computing as a Data Integration Framework
title_short	A Sketch of Statistical Meta-Computing as a Data Integration Framework
title_full	A Sketch of Statistical Meta-Computing as a Data Integration Framework
title_fullStr	A Sketch of Statistical Meta-Computing as a Data Integration Framework
title_full_unstemmed	A Sketch of Statistical Meta-Computing as a Data Integration Framework
title_sort	sketch of statistical meta-computing as a data integration framework
publisher	Austrian Statistical Society
series	Austrian Journal of Statistics
issn	1026-597X
publishDate	2016-04-01
description	Statistics defines itself as a methodological discipline providing a rigorous, formal framework for scientific empirism based on a mapping of contingent observable phenomena to (real) numbers that can be dealt with, or analysed, computationally. Application of the statistical methodology of data reduction, in turn, requires some representation of the problem context. Most of the time, this amounts to encoding (a part of) the problem context of observation data into another layer of data – called metadata. Based on metadata, procedures of data analysis might be enhanced to encompass also the analysis and transformation of metadata alongside the accompanied data itself. The paper sketches the outline of a systematic approach to statistical “meta-computing” as a dual-mode proposal of statistical data processing.
url	http://www.ajs.or.at/index.php/ajs/article/view/437
work_keys_str_mv	AT karlafroeschl asketchofstatisticalmetacomputingasadataintegrationframework AT karlafroeschl sketchofstatisticalmetacomputingasadataintegrationframework
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A Sketch of Statistical Meta-Computing as a Data Integration Framework

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