Zobrazeno 1 - 10
of 561
pro vyhledávání: '"least trimmed squares estimator"'
Autor:
Zuo, Yijun1 (AUTHOR) zuo@msu.edu
Publikováno v:
Mathematics (2227-7390). Nov2024, Vol. 12 Issue 22, p3586. 19p.
Autor:
Weili Kong, Yuanfu Shao
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 31607-31635 (2024)
Considering the impact of fear levels, Allee effects and hunting cooperation factors on system stability, a Leslie-Gower predator-prey model was formulated. The existence, stability and bifurcation analysis of equilibrium points were studied by use o
Externí odkaz:
https://doaj.org/article/b7c056cc391e4613b444350f5ef7613d
Autor:
Zuo, Yijun
The least trimmed squares (LTS) estimator is popular in location, regression, machine learning, and AI literature. Despite the empirical version of least trimmed squares (LTS) being repeatedly studied in the literature, the population version of the
Externí odkaz:
http://arxiv.org/abs/2210.06460
Autor:
Zuo, Yijun
Instead of minimizing the sum of all $n$ squared residuals as the classical least squares (LS) does, Rousseeuw (1984) proposed to minimize the sum of $h$ ($n/2 \leq h < n$) smallest squared residuals, the resulting estimator is called least trimmed s
Externí odkaz:
http://arxiv.org/abs/2203.10387
Autor:
Yijun Zuo
Publikováno v:
Mathematics, Vol 12, Iss 22, p 3586 (2024)
The least trimmed squares (LTS) estimator is popular in location, regression, machine learning, and AI literature. Despite the empirical version of least trimmed squares (LTS) being repeatedly studied in the literature, the population version of the
Externí odkaz:
https://doaj.org/article/82eefb307f5b42de849d31056117195d
Autor:
Berenguer-Rico, Vanessa1 (AUTHOR), Johansen, Søren2 (AUTHOR), Nielsen, Bent1 (AUTHOR) bent.nielsen@nuffield.ox.ac.uk
Publikováno v:
Journal of the Royal Statistical Society: Series B (Statistical Methodology). Jul2023, Vol. 85 Issue 3, p886-912. 27p.
Autor:
Koch, Ismael É., Veronez, Maurício R., da Silva, Reginaldo M., Klein, Ivandro, Matsuoka, Marcelo T., Gonzaga, Luiz, Jr., Larocca, Ana Paula Camargo
Publikováno v:
In Expert Systems With Applications 1 December 2017 88:230-237
Akademický článek
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Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 31581-31606 (2024)
Regression analysis frequently encounters two issues: multicollinearity among the explanatory variables, and the existence of outliers in the data set. Multicollinearity in the semiparametric regression model causes the variance of the ordinary least
Externí odkaz:
https://doaj.org/article/c026181d0cb84269a14da80184f48115
Autor:
Jung, Kang-Mo1 (AUTHOR) kmjung@kunsan.ac.kr
Publikováno v:
Journal of Applied Statistics. Mar2007, Vol. 34 Issue 3, p331-338. 8p. 2 Charts, 1 Graph.