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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Imprimir: 1064-2315
ISSN On-line: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v49.i11.40
pages 25-38

Approximate Algorithms for Estimating Trends in Financial Intelligence Tasks. Part I. Moments of Financial Flow Elements Appearance are Known Exactly

Farit F. Idrisov
Tomsk State University of Control Systems and Radioelectronics, Tomsk

RESUMO

The approximate algorithms for estimating trends in financial intelligence tasks are treated. Consideration is given to the case where the moments of appearance of financial flow elements are known exactly. The statistical characteristics of the obtained estimates are studied.


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