An inequality unscented transformation for estimating the statistical moments
An inequality unscented transformation for estimating the statistical moments
About this item
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Publisher
New York: Elsevier BV
Journal title
Language
English
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Publication information
Publisher
New York: Elsevier BV
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Scope and Contents
Contents
Point estimate method (PEM) is convenient for estimating statistical moments. This paper focuses on discussing the existing PEMs and presenting a new PEM for the efficient and accurate estimation of statistical moments. Firstly, a classification method of PEMs is proposed based on the strategy of choosing sigma points. Secondly, the minimum number...
Alternative Titles
Full title
An inequality unscented transformation for estimating the statistical moments
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2113594168
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2113594168
Other Identifiers
ISSN
1088-8691
E-ISSN
0307-904X
DOI
10.1016/j.apm.2018.05.010
