Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Silian Shen"'
Publikováno v:
Mathematics, Vol 11, Iss 1, p 43 (2022)
In this paper, we study the perturbed risk model with a threshold dividend strategy and proportional investment. The insurance companies are allowed to invest their surplus in a financial market consisting of a risk-free asset and a risky asset in fi
Externí odkaz:
https://doaj.org/article/b68106579ce6416b995c9eed31173600
Publikováno v:
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications.
Spatial autocorrelation is one of the most important characteristics of spatial data. Based on the fifth and sixth census data, we focus on in this paper studying the spatial autocorrelation of the population in Shandong province. Specifically, the g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bf909b81c61235070a4d61144d6d6c6
https://doi.org/10.2991/wartia-16.2016.269
https://doi.org/10.2991/wartia-16.2016.269
Autor:
Changlin Mei, Silian Shen
Publikováno v:
Communications in Statistics - Theory and Methods. 38:1098-1112
Heteroscedasticity generally exists when a linear regression model is applied to analyzing some real-world problems. Therefore, how to accurately estimate the variance functions of the error term in a heteroscedastic linear regression model is of gre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48bd0e02f636e1ba809f20260dea61d9
https://doi.org/10.1080/03610920802374061
https://doi.org/10.1080/03610920802374061
Autor:
Chunwei Wang, Silian Shen
Publikováno v:
Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c82b7eca4c0648a4f52e8664dda56680
https://doi.org/10.2991/csic-15.2015.57
https://doi.org/10.2991/csic-15.2015.57
Autor:
Jianling Cui, Silian Shen
Publikováno v:
CSO
We focus on the estimation of the fuzzy linear regression model where the explanatory and response variables are both L fuzzy numbers. A method is proposed to fit this regression model and the resulting estimates of the parameters are shown to be asy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a77c544c7d01844e1ba2cc81d29b277
https://doi.org/10.1109/cso.2012.208
https://doi.org/10.1109/cso.2012.208