自动化与信息科学期刊
每年出版 12 期
ISSN 打印: 1064-2315
ISSN 在线: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Approximate Algorithms for Estimating Trends in Financial Intelligence Tasks. Part I. Moments of Financial Flow Elements Appearance are Known Exactly
卷 49,
册 11, 2017,
pp. 25-38
DOI: 10.1615/JAutomatInfScien.v49.i11.40
摘要
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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