Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381952306> ?p ?o ?g. }
- W4381952306 endingPage "103484" @default.
- W4381952306 startingPage "103484" @default.
- W4381952306 abstract "Statistical moments estimation is one of the main topics for the analysis of a stochastic system, but the balance among the accuracy, efficiency, and versatility for different methods of statistical moments estimation still remains a challenge. In this paper, a novel point estimate method (PEM) based on a new adaptive hybrid dimension-reduction method (AH-DRM) is proposed. Firstly, the adaptive cut-high-dimensional model representation (cut-HDMR) is briefly reviewed, and a novel AH-DRM is developed, where the high-order component functions of the adaptive cut-HDMR are further approximated by multiplicative forms of the low-order component functions. Secondly, a new point estimation method (PEM) based on the AH-DRM is proposed for statistical moments estimation. Finally, several examples are investigated to demonstrate the performance of the proposed PEM. The results show the proposed PEM has fairly high accuracy and good versatility for statistical moments estimation." @default.
- W4381952306 created "2023-06-26" @default.
- W4381952306 creator A5007208723 @default.
- W4381952306 creator A5008408192 @default.
- W4381952306 creator A5066652754 @default.
- W4381952306 creator A5085142676 @default.
- W4381952306 creator A5087700327 @default.
- W4381952306 date "2023-07-01" @default.
- W4381952306 modified "2023-10-12" @default.
- W4381952306 title "An efficient approach for statistical moments estimation of structural response based on a novel adaptive hybrid dimension-reduction method" @default.
- W4381952306 cites W1867903852 @default.
- W4381952306 cites W1957113944 @default.
- W4381952306 cites W1965920338 @default.
- W4381952306 cites W1967113535 @default.
- W4381952306 cites W1995565517 @default.
- W4381952306 cites W2011103737 @default.
- W4381952306 cites W2016312558 @default.
- W4381952306 cites W2020001521 @default.
- W4381952306 cites W2031226561 @default.
- W4381952306 cites W2032042015 @default.
- W4381952306 cites W2035006468 @default.
- W4381952306 cites W2035139006 @default.
- W4381952306 cites W2036178646 @default.
- W4381952306 cites W2044842668 @default.
- W4381952306 cites W2053792421 @default.
- W4381952306 cites W2058542661 @default.
- W4381952306 cites W2060833676 @default.
- W4381952306 cites W2063026031 @default.
- W4381952306 cites W2065474520 @default.
- W4381952306 cites W2069050355 @default.
- W4381952306 cites W2070748799 @default.
- W4381952306 cites W2073407183 @default.
- W4381952306 cites W2091865758 @default.
- W4381952306 cites W2123562397 @default.
- W4381952306 cites W2178011284 @default.
- W4381952306 cites W2624070650 @default.
- W4381952306 cites W2753797043 @default.
- W4381952306 cites W2773118665 @default.
- W4381952306 cites W2795562280 @default.
- W4381952306 cites W2809861135 @default.
- W4381952306 cites W2810573578 @default.
- W4381952306 cites W2898774602 @default.
- W4381952306 cites W2914454358 @default.
- W4381952306 cites W3006498018 @default.
- W4381952306 cites W3019293565 @default.
- W4381952306 cites W3092241375 @default.
- W4381952306 cites W3128928306 @default.
- W4381952306 cites W3202721074 @default.
- W4381952306 cites W3216260799 @default.
- W4381952306 cites W4312163902 @default.
- W4381952306 cites W79383899 @default.
- W4381952306 doi "https://doi.org/10.1016/j.probengmech.2023.103484" @default.
- W4381952306 hasPublicationYear "2023" @default.
- W4381952306 type Work @default.
- W4381952306 citedByCount "0" @default.
- W4381952306 crossrefType "journal-article" @default.
- W4381952306 hasAuthorship W4381952306A5007208723 @default.
- W4381952306 hasAuthorship W4381952306A5008408192 @default.
- W4381952306 hasAuthorship W4381952306A5066652754 @default.
- W4381952306 hasAuthorship W4381952306A5085142676 @default.
- W4381952306 hasAuthorship W4381952306A5087700327 @default.
- W4381952306 hasConcept C105795698 @default.
- W4381952306 hasConcept C111335779 @default.
- W4381952306 hasConcept C11413529 @default.
- W4381952306 hasConcept C126255220 @default.
- W4381952306 hasConcept C134306372 @default.
- W4381952306 hasConcept C154945302 @default.
- W4381952306 hasConcept C17744445 @default.
- W4381952306 hasConcept C185429906 @default.
- W4381952306 hasConcept C199539241 @default.
- W4381952306 hasConcept C202444582 @default.
- W4381952306 hasConcept C2524010 @default.
- W4381952306 hasConcept C2776359362 @default.
- W4381952306 hasConcept C2780033567 @default.
- W4381952306 hasConcept C28719098 @default.
- W4381952306 hasConcept C28826006 @default.
- W4381952306 hasConcept C33676613 @default.
- W4381952306 hasConcept C33923547 @default.
- W4381952306 hasConcept C41008148 @default.
- W4381952306 hasConcept C41426520 @default.
- W4381952306 hasConcept C42747912 @default.
- W4381952306 hasConcept C70518039 @default.
- W4381952306 hasConcept C94625758 @default.
- W4381952306 hasConceptScore W4381952306C105795698 @default.
- W4381952306 hasConceptScore W4381952306C111335779 @default.
- W4381952306 hasConceptScore W4381952306C11413529 @default.
- W4381952306 hasConceptScore W4381952306C126255220 @default.
- W4381952306 hasConceptScore W4381952306C134306372 @default.
- W4381952306 hasConceptScore W4381952306C154945302 @default.
- W4381952306 hasConceptScore W4381952306C17744445 @default.
- W4381952306 hasConceptScore W4381952306C185429906 @default.
- W4381952306 hasConceptScore W4381952306C199539241 @default.
- W4381952306 hasConceptScore W4381952306C202444582 @default.
- W4381952306 hasConceptScore W4381952306C2524010 @default.
- W4381952306 hasConceptScore W4381952306C2776359362 @default.
- W4381952306 hasConceptScore W4381952306C2780033567 @default.
- W4381952306 hasConceptScore W4381952306C28719098 @default.
- W4381952306 hasConceptScore W4381952306C28826006 @default.