Results 101 to 110 of about 25,397 (329)

On the Weighted Mixed Almost Unbiased Ridge Estimator in Stochastic Restricted Linear Regression

Journal of Applied Mathematics, 2013
We introduce the weighted mixed almost unbiased ridge estimator (WMAURE) based on the weighted mixed estimator (WME) (Trenkler and Toutenburg 1990) and the almost unbiased ridge estimator (AURE) (Akdeniz and Erol 2003) in linear regression model.
Chaolin Liu, Hu Yang, Jibo Wu
doaj   +1 more source

The Distribution of Stochastic Shrinkage Parameters in Ridge Regression [PDF]

In this article we derive the density and distribution functions of the stochastic shrinkage parameters of three well-known operational Ridge Regression estimators by assuming normality. The stochastic behavior of these parameters is likely to affect the
Hernán Rubio, Luis Firinguetti
core  

Optimum Statistical Estimation with Strategic Data Sources [PDF]

, 2015
We propose an optimum mechanism for providing monetary incentives to the data sources of a statistical estimator such as linear regression, so that high quality data is provided at low cost, in the sense that the sum of payments and estimation error is ...
Cai, Yang, Daskalakis, Constantinos, Papadimitriou, Christos H.   +2 more
core   +1 more source

A BioLiving Periosteum Evokes Centripetal Regeneration in Challenging Bone Defects

Advanced Science, EarlyView.
Large bone defects often suffer from insufficient central healing. This study engineers a BioLiving periosteum that mimics the native structure. It sequentially delivers remote chemical cues and contact physical cues in a signaling‐relay manner, effectively recruiting and guiding endogenous cells toward the defect center.
Yang Shi, Nian Liu, Jingyi Gu, Yinling Wang, Weiye Wang, Zhiwei Ke, Mingjun Xie, Wenjing Jin, Weicheng Kong, Jue Shi, Hui Pan, Yong He, Zhijian Xie   +12 more
wiley   +1 more source

Estimation in regret-regression using quadratic inference functions with ridge estimator

, 2022
Nur Raihan Abdul Jalil, Nur Anisah Mohamed, Rossita Mohamad Yunus   +2 more
openalex   +2 more sources

Bioenergy Cropping Reduces the Spatiotemporal Scaling of Soil Bacterial Biodiversity

Advanced Science, EarlyView.
Consistent with patterns observed in plant and animal communities, soil bacterial communities exhibit significant species–time–area and phylogenetic–time–area relationships independent of nested structure. Bioenergy cropping significantly reduces the spatiotemporal scaling rates, particularly in sandy loam soils.
Zhencheng Ye, Jialiang Kuang, Colin T. Bates, Arthur Escalas, Daliang Ning, Liyou Wu, Suo Liu, Sihang Deng, Jiesi Lei, Xiangwen Chen, Jennifer Pett‐Ridge, Malay Saha, Lauren Hale, Gangsheng Wang, Renmao Tian, Ying Fu, Yu Tang, Mary Firestone, Jizhong Zhou, Yunfeng Yang   +19 more
wiley   +1 more source

Microscale Mapping of Fiber Strain and Damage in Composite Wrinkled Laminates Using Computed Tomography Assisted Wide‐Angle X‐Ray Scattering

Advanced Science, EarlyView.
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong, James Trevarthen, Igor Dolbnya, Wadwan Singhapong, Nicholas Pilato, Richard Butler, Jiraphant Srisuriyachot, Alexander J. G. Lunt   +7 more
wiley   +1 more source

Restricted Ridge Regression estimator as a parameter estimation in multiple linear regression model for multicollinearity case

, 2021
F A O Rumere, Saskya Mary Soemartojo, Yekti Widyaningsih   +2 more
openalex   +1 more source

Adaptable ridge regression estimation for sure model

Applied Mathematical Sciences, 2013
Binkley(1982) described the possible loss in efficiency of the best linear unbiased estimator (BLUE) of parametric vector due to the presence of Multicollinearity among the explanatory variables in the different linear regression equations of SURE model.
Sk. Khadar Babu, M. V. Ramanaiah, V. Satish Kumar   +2 more
openaire   +1 more source

Pan‐3D Genome Analysis Reveals the Roles of Structural Variation in Chicken Chromatin Architectures, Domestication and Production Traits

Advanced Science, EarlyView.
This study firstly presents a comprehensive and high‐resolution pan‐3D genome resource in chicken. Our findings reveal the role of structural variations in 3D genome architectures, and how they influence the domestication process and production traits at the 3D genome level.
Zhen Zhou, Danfeng Cai, Changbin Zhao, Siyu Zhang, Jiahao Li, Zhaofeng Zhang, Shaofen Kong, Xin Yang, Xiaoli Zhou, Farhad Bordbar, Fayi Chen, Yaohuan Xu, Zhe Zhang, Lihong Gu, Zhenhui Li, Xiquan Zhang, Wen Luo, Jingting Shu, Bolin Cai, Qinghua Nie   +19 more
wiley   +1 more source