Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Thi Binh An, Duong"'
Autor:
Thi Binh An, Duong1 (AUTHOR), Nguyen, Tram Thi Bich2 (AUTHOR) tram.ntb@ou.edu.vn, Truong Quang, Huy3 (AUTHOR)
Publikováno v:
International Journal of Logistics: Research & Applications. Nov2024, Vol. 27 Issue 11, p2021-2048. 28p.
Autor:
Huynh-Xuan, Tin, Bui, Nam, Ngo-Thanh, Thuy, Nguyen, Duy Tan, Thi Binh, An Duong, Le Thi Cam, Huong
Publikováno v:
Journal of Industrial & Production Engineering; Jun2024, Vol. 41 Issue 4, p380-396, 17p
Autor:
Thi Binh An Duong, Tho Pham, Quang Huy Truong, Kevin Nguyen, Cong Hiep Pham, Thu-Hang Hoang, Thanh Hai Pham
Publikováno v:
Construction Management and Economics. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f12cf2bea73f2d53bb927efc17189370
https://doi.org/10.1080/01446193.2023.2189739
https://doi.org/10.1080/01446193.2023.2189739
Publikováno v:
Behaviormetrika. 48:103-115
This paper provides an adjusted method of structural equation modeling using the generalized maximum entropy estimation method (GME-SEM). The adjusted method, called K-means-GME-SEM, can reduce the volume of calculation using k-means centroids as a r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::becae8e54db3e0e61a7b368dedc918cc
https://doi.org/10.1007/s41237-020-00118-4
https://doi.org/10.1007/s41237-020-00118-4
Autor:
Thi Binh, An Duong1 (AUTHOR), Hoang, Thu-Hang2 (AUTHOR), Quang, Huy Truong3 (AUTHOR) huytruong.quang@rmit.edu.vn
Publikováno v:
Evaluation Review. Oct2024, p1.
Publikováno v:
Smart Innovation, Systems and Technologies ISBN: 9783319920276
We propose a multivariate multiple orthogonal linear regression (MMOLR) model. The MMOLR model expresses the relationship between two sets of dependent variables and independent variables. It is possible to use the MMOLR as a step to be followed by m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c36e4e426d10dc2455d7af6bd28b4cf2
https://doi.org/10.1007/978-3-319-92028-3_5
https://doi.org/10.1007/978-3-319-92028-3_5
