Results 101 to 110 of about 2,495,910 (283)

Robust ridge and robust Liu estimator for regression based on the LTS estimator

open access: yes, 2013
WOS: 000317837200012In the multiple linear regression analysis, the ridge regression estimator and the Liu estimator are often used to address multicollinearity.
Kan Kılınç, Betül   +2 more
core   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

open access: yesAdvanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao   +6 more
wiley   +1 more source

Special ridge-type estimator: Simulation and application to chemical data

open access: yesAIP Advances
This study delves into regularization techniques, such as ridge regression, Liu estimator, and Kibria–Lukman estimator, as alternatives to the maximum likelihood method for addressing multicollinearity in beta regression models.
Rasha A. Farghali   +4 more
doaj   +1 more source

An improved and efficient Liu estimator for logistic regression model

open access: yesИнформатика. Экономика. Управление
Logistic regression is one of the most important and widely applied statistical models for analyzing binary response data in various scientific and applied fields.
А. М. Алгбури
doaj   +1 more source

Spatially Regulated Lithium Plating via Li2O‐Rich Interphase Enables Durable Fast‐Charging Hybrid Lithium Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A Li2O‐rich solid electrolyte interphase (SEI) is engineered on graphite through a propylene carbonate‐based electrolyte to spatially regulate Li plating. The homogeneous interphase lowers Li nucleation barriers, promotes conformal Li deposition around graphite particles, and suppresses dendritic accumulation, enabling durable hybrid Li‐ion/Li‐metal ...
Robert Kuphal   +8 more
wiley   +1 more source

The general expressions for the moments of the stochastic shrinkage parameters of the Liu type estimator

open access: yes, 2006
One of the problems with the Liu estimator is the appropriate value for the unknown biasing parameter d . In this article we consider the optimum value for d and give upper bound for the expected value of the estimator of this biasing parameter.
Styan G.P.H., Akdeniz F., Werner H.J.
core   +1 more source

Multifunctional Neutrophil Nanovesicles Induce Remodeling of Tumor Immune Microenvironment and Synergistic Multimodal Tumor Therapy

open access: yesAdvanced Functional Materials, EarlyView.
Schematic illustration of the engineered RN@FDT for multimodal tumor therapy. a) Fabrication of FD&DOX/TFA‐loaded RGD‐NNV (RN@FDT) and the light‐triggered disassemble of RN@FDT. b) After internalized by tumor cells, RN@FDT are disintegrated under NIR‐II laser irradiation to boost PTT and induce cell apoptosis.
Jiahui Zhang   +16 more
wiley   +1 more source

On the weighted mixed liu-type estimator under unbiased stochastic restrictions

open access: yes, 2017
In this article, we introduce the weighted mixed Liu-type estimator (WMLTE) based on the weighted mixed and Liu-type estimator (LTE) in linear regression model.
YILDIZ, NİLGÜN
core   +1 more source

Pressure‐Assisted Dimensional Transformation of 2D Hydrogenated Borophene into 0D Boron Quantum Dots

open access: yesAdvanced Functional Materials, EarlyView.
Hydrogenated borophene (HB) is transformed into distinct boron nanostructures through a solvent‐free thermal process. Under flowing nitrogen, hydrogen escape promotes reconstruction into B2O3 nanoplatelets, whereas hydrogen‐induced pressure under sealed conditions facilitates fragmentation into boron quantum dots.
Ozden Gunes Yildiz   +11 more
wiley   +1 more source

Weighted LAD-Liu-LASSO for robust estimation and sparsity

open access: yesComputational Statistics
Abstract The Least Absolute Shrinkage and Selection Operator (LASSO) is widely used for parameter estimation and variable selection but can encounter challenges with outliers and heavy-tailed error distributions. Integrating variable selection methods such as LASSO with Weighted Least Absolute Deviation (WLAD) has been explored in ...
Murat Genç, Adewale Folaranmi Lukman
openaire   +1 more source

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