Zobrazeno 1 - 10
of 2 086
pro vyhledávání: '"Local polynomial"'
Autor:
Oussama Bouanani, Salim Bouzebda
Publikováno v:
AIMS Mathematics, Vol 9, Iss 9, Pp 23651-23691 (2024)
Local polynomial fitting exhibits numerous compelling statistical properties, particularly within the intricate realm of multivariate analysis. However, as functional data analysis gains prominence as a dynamic and pertinent field in data science, th
Externí odkaz:
https://doaj.org/article/d81442cd5b4f4829aa7569f4c9a033c7
Publikováno v:
Journal of King Saud University: Science, Vol 36, Iss 11, Pp 103549- (2024)
A model built from a parametric regression model and a nonparametric regression model is called a semiparametric regression (SR) model. The main problem in the SR model is the estimation of the regression function. In this study, we develop the SR mo
Externí odkaz:
https://doaj.org/article/505511afa2a642c28923cf2e6ed8e763
Publikováno v:
Ibn Al-Haitham Journal for Pure and Applied Sciences, Vol 37, Iss 4 (2024)
In this research, we conducted a comprehensive investigation of various kernel functions employed in the estimation of nonparametric regression functions. In particular, we investigated the Nadaraya-Watson method and local polynomial regression techn
Externí odkaz:
https://doaj.org/article/1220da0071db4649a085e3436949a50a
Publikováno v:
In Journal of King Saud University - Science December 2024 36(11)
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 55, Iss , Pp 101731- (2024)
In this paper, we study the high-dimensional varying coefficient partially linear model and proposes a variable parameter selection method combined with elastic network. The two-stage estimation method is adopted and the alternating direction multipl
Externí odkaz:
https://doaj.org/article/2082bb47bc8f4046b4fae93b81b54188
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18139-18155 (2024)
With the advancement of remote sensing technologies, multimodal image matching has become increasingly important. Multimodal remote sensing images exhibit significant differences in radiometric and geometric properties due to their distinct imaging p
Externí odkaz:
https://doaj.org/article/1c3b90b07b9343618fd9adc5409b71ae
Publikováno v:
Mathematics and Modeling in Finance, Vol 3, Iss 1, Pp 49-66 (2023)
In this article, according to the importance of the hazard rate function criterion in theevaluation of statistical distributions, its estimation methods are presented. Here, we suggestestimators for the hazard rate function. First, we use the standar
Externí odkaz:
https://doaj.org/article/5ceaf71caed046e4a5f5e7bd2e8d6cd4
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2752 (2024)
Affected by geological factors, the scale of surface deformation in a hilly semi-desertification mining area varies. Meanwhile, there is certain dense vegetation on the ground, so it is difficult to construct a high-precision and complete image of a
Externí odkaz:
https://doaj.org/article/78f5e32d642a47b990245d54d7efcc83
Autor:
Junying Cheng, Manli Song, Zhongbiao Xu, Qian Zheng, Li Zhu, Wufan Chen, Yanqiu Feng, Jianfeng Bao, Jingliang Cheng
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
BackgroundAccurate phase unwrapping is a critical prerequisite for successful applications in phase-related MRI, including quantitative susceptibility mapping (QSM) and susceptibility weighted imaging. However, many existing 3D phase unwrapping algor
Externí odkaz:
https://doaj.org/article/99923d44931449a293a4b6b4f81d15e6
Publikováno v:
JTAM (Jurnal Teori dan Aplikasi Matematika), Vol 7, Iss 1, Pp 160-173 (2023)
This study offers a new technique for constructing percentile bootstrap intervals to predict the regression of univariate local polynomials. Bootstrap regression uses resampling derived from paired and residual bootstrap methods. The main objective o
Externí odkaz:
https://doaj.org/article/124e223fc8e04baf858441f7b6ac0a32