Results 101 to 110 of about 9,093,191 (259)
Liu type estimator in cox proportional hazard regression model in presence of collinearity
In this study, we will consider the liu type estimator in cox regression model. Generally maximum likelihood estimator is widely used to estimate cox regression model parameters.
core
An alternative stochastic restricted Liu estimator in linear regression
Liu estimator, Mixed estimator, Stochastic restricted Liu estimator, Mean squared error matrix,
Hu Yang, Jianwen Xu
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This study reports a self‐powered InGaAs nanowire photodetector achieving single‐photon‐level sensitivity in the shortwave infrared at non‐cryogenic temperatures. The device demonstrates high‐speed imaging capabilities even under extremely low‐flux conditions.
Kosala Dhanawansha +10 more
wiley +1 more source
Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays
Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao +7 more
wiley +1 more source
A dynamic interfacial semi‐interpenetrating polymer network is constructed by sequential assembly of β‐sheet‐rich SF and CS‐RL. The SF framework provides mechanical strength, while dynamically associated CS‐RL enables local rearrangement, allowing droplets to rapidly reconfigure without loss of interfacial integrity.
Yaping Zhang +7 more
wiley +1 more source
Identifying local influential observations in Liu estimator
Identifying influential observations is an important step in the right direction of the linear regression model building process. Various influence measures based on different motivational arguments are designed to measure the influence of observations ...
陈建宝 +2 more
core +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Liu-type shrinkage estimators for mixture of logistic regressions: an osteoporosis study
The logistic regression model is one of the most powerful statistical methods for the analysis of binary data. The logistic regression allows to use a set of covariates to explain the binary responses. The mixture of logistic regression models is used to fit heterogeneous populations through an unsupervised learning approach.
Elsayed Ghanem +2 more
openaire +2 more sources
Schematic illustration of the proposed mechanism: PEG/RGD‐PSLs mimic apoptotic cells to engage PS receptors (notably CD300a), transducing an inhibitory signal that suppresses the MyD88/NF‐κB pathway, leading to global anti‐inflammatory and pro‐reparative effects.
Lele Wu +10 more
wiley +1 more source
Liu-Type Logistic Estimators with Optimal Shrinkage Parameter
Multicollinearity in logistic regression affects the variance of the maximum likelihood estimator negatively. In this study, Liu-type estimators are used to reduce the variance and overcome the multicollinearity by applying some existing ridge regression estimators to the case of logistic regression model.
openaire +2 more sources

