Zobrazeno 1 - 10
of 17 657
pro vyhledávání: '"Semiparametric"'
Autor:
Furková Andrea, Knížat Peter
Publikováno v:
Business Systems Research, Vol 15, Iss 2, Pp 48-66 (2024)
It is a well-known phenomenon that nonlinearities that are inherent in the relationship among economic variables negatively affect the commonly used estimators in the econometric models. The nonlinearities cause an instability of the estimated parame
Externí odkaz:
https://doaj.org/article/5f80fb84018a499daa801d185f3b14ee
Publikováno v:
Business Systems Research, Vol 15, Iss 2, Pp 1-7 (2024)
This special issue of Business Systems Research (SI of the BSR) is being co-published by the Slovenian Society INFORMATIKA – Section for Operational Research (SSI -SOR). It focuses on recent advances in Operations Research and Management Science (O
Externí odkaz:
https://doaj.org/article/cc4a3e496a614b58b3d2efd03088c623
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:
Fachira Haneinanda Junainto, Adji Achmad Rinaldo Fernandes, Solimun Solimun, Rosita Binti Hamdan
Publikováno v:
JTAM (Jurnal Teori dan Aplikasi Matematika), Vol 8, Iss 4, Pp 1082-1095 (2024)
Credit risk assessment is crucial for financial institutions to ensure loan repayment. To enhance the prediction accuracy of creditworthiness and timely repayment, this research employs semiparametric structural equation modeling (SEM) to analyze the
Externí odkaz:
https://doaj.org/article/4100170cfeb6439d988d744bbd120f21
Autor:
Antonelli, Maria Alessandra, Castaldo, Angelo, Forti, Marco, Marrocco, Alessia, Salustri, Andrea
Publikováno v:
International Journal of Manpower, 2024, Vol. 45, Issue 8, pp. 1555-1572.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJM-01-2024-0026
Publikováno v:
Arab Journal of Mathematical Sciences, 2022, Vol. 30, Issue 2, pp. 171-196.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AJMS-02-2022-0033
Publikováno v:
Stats, Vol 7, Iss 3, Pp 924-943 (2024)
We investigate a semiparametric generalized partially linear regression model that accommodates missing outcomes, with some covariates modeled parametrically and others nonparametrically. We propose a class of augmented inverse probability weighted (
Externí odkaz:
https://doaj.org/article/aaa0ec16101c4bf78928eda3c806610e
Autor:
Shahid Latif, Taha B. M. J. Ouarda
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract A semiparametric copula joint framework was proposed to model wind gust speed (WGS) and maximum temperature (MT) in Canada, using Gaussian kernel density estimation (GKDE) with parametric copulas. Their joint probability estimates allow for
Externí odkaz:
https://doaj.org/article/26ff504a43d749d1bb869693a03ca147
Publikováno v:
Arab Journal of Mathematical Sciences, Vol 30, Iss 2, Pp 171-196 (2024)
Purpose – The purpose of this paper is to propose a semiparametric estimator for the tail index of Pareto-type random truncated data that improves the existing ones in terms of mean square error. Moreover, we establish its consistency and asymptoti
Externí odkaz:
https://doaj.org/article/ebd2fb654c344c6d8659e5c4fc48db7e