Results 101 to 110 of about 1,043 (255)
An embodied codesign framework for smart footwear is presented, jointly tuning lattice mechanics and sensing for personalized plantar pressure monitoring. By integrating pneumatic sensing within 3D‐printed lattice soles, the system achieves accurate real‐time centre‐of‐pressure tracking with reduced sensor count and energy demand, demonstrating how ...
Fengyu Zhong +3 more
wiley +1 more source
Modified Ridge Parameters for Seemingly Unrelated Regression Model
In this paper, we modify a number of new biased estimators of seemingly unrelated regression (SUR) parameters which are developed by Alkhamisi and Shukur (2008), AS, when the explanatory variables are affected by multicollinearity.
Shukur , Ghazi +2 more
core
SOME NEW ADJUSTED RIDGE ESTIMATORS OF LINEAR REGRESSION MODEL [PDF]
The ridge estimator for handling multicollinearity problem in linear regression model requires the use the biasing parameter. In this paper, some new adjusted ridge parameters which do not require the biasing parameter are proposed.
Lukman, A. F. +3 more
core
High‐elevation endemic plants predicted to lose habitat from changing climate in Washington State
Abstract Premise High‐elevation plants face unique challenges from potential climate change impacts that will likely require upslope migration into increasingly smaller suitable habitat. This situation is particularly acute for endemic species that by definition occupy small geographic ranges.
Nicholas L. Gjording +4 more
wiley +1 more source
Assessment of Growth in Cardio‐Facio‐Cutaneous Syndrome
ABSTRACT Cardio‐facio‐cutaneous (CFC) syndrome is a rare, multiple congenital anomaly disorder in which individuals commonly experience faltering growth; however, systematic analysis of growth parameters in this disorder has not been performed. We recruited 69 participants with CFC through CFC International and collected data on assessing height ...
Kari Johnston +6 more
wiley +1 more source
Robust Kibria Estimators for Mitigating Multicollinearity and Outliers in a Linear Regression Model
In the presence of multicollinearity, the ordinary least squares (OLS) estimators, aside from BLUE (best linear unbiased estimator), lose efficiency and fail to achieve minimum variance.
Hina Naz +3 more
doaj +1 more source
Multimodal Image Guidance in Subthalamic Deep Brain Stimulation for Parkinson's Disease
Objective Accurate electrode placement and individual stimulation parameters influence the outcomes of subthalamic deep brain stimulation in Parkinson's disease. Neuroimaging‐based models can help evaluate how electrode placement impacts improvement, aiming to reduce the burden of programming.
Patricia Zvarova +27 more
wiley +1 more source
Enhanced ridge estimators to effectively address multicollinearity challenges
In this study, we introduce three new ridge estimators, referred to as AIRE1, AIRE2, and AIRE3, designed to effectively address the issue of multicollinearity in regression analysis.
Nadeem Akhtar, Muteb Faraj Alharthi
doaj +1 more source
Quantitative assessment of masticatory muscles based on skull muscle attachment areas in Carnivora
Abstract Masticatory muscles are composed of the temporalis, masseter, and pterygoid muscles in mammals. Each muscle has a different origin on the skull and insertion on the mandible; thus, all masticatory muscles contract in different directions. Collecting in vivo data and directly measuring the masticatory muscles anatomically in various Carnivora ...
Kai Ito +4 more
wiley +1 more source
Predictive regression models often face a common challenge known as multicollinearity. This phenomenon can distort the results, causing models to overfit and produce unreliable coefficient estimates.
Muteb Faraj Alharthi, Nadeem Akhtar
doaj +1 more source

