Results 51 to 60 of about 24,864 (292)

Recovering Jackknife Ridge Regression Estimates from OLS Results [PDF]

مجلة جامعة الانبار للعلوم الصرفة, 2014
The aim of this paper is addressing or recalculate the estimation methods in multiple linear regression model when there is a problem of Multicollinearity in this model like the ridge regression for Hoerl and Kannard, Baldwin estimator (HKB) and ...
Feras Sh. Mahmood
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

On the performance of some new ridge parameter estimators in the Poisson-inverse Gaussian ridge regression

Alexandria Engineering Journal, 2023
The Poisson Inverse Gaussian Regression model (PIGRM) is used for modeling the count datasets to deal with the issue of over-dispersion. Generally, the maximum likelihood estimator (MLE) is used to estimate the PIGRM estimates.
Asia Batool, Muhammad Amin, Ahmed Elhassanein   +2 more
doaj   +1 more source

The Influence Function of Penalized Regression Estimators [PDF]

, 2014
To perform regression analysis in high dimensions, lasso or ridge estimation are a common choice. However, it has been shown that these methods are not robust to outliers.
Alfons, Andreas, Croux, Christophe, Öllerer, Viktoria   +2 more
core   +2 more sources

Nano‐ and Micro‐Sized Solid Materials Used as Antiviral Agents

Advanced Functional Materials, EarlyView.
Due to the rise of viral infections in humans and possible viral outbreaks, the use of nano‐ or micro‐sized materials as antiviral agents is rapidly increasing. This review explores their antiviral properties against RNA and DNA viruses, either as a prevention or a treatment tool, by delving into their mechanisms of action and how to properly assess ...
Orfeas‐Evangelos Plastiras, Imelda Raczkiewicz, Peggy Bouquet, Jean‐Philippe Dacquin, Jeremy Dhainaut, Anne Goffard, Christophe Volkringer   +6 more
wiley   +1 more source

The efficiency of modified jackknife and ridge type regression estimators: a comparison [PDF]

Surveys in Mathematics and its Applications, 2008
A common problem in multiple regression models is multicollinearity, which produces undesirable effects on the least squares estimator. To circumvent this problem, two well known estimation procedures are often suggested in the literature.
Sharad Damodar Gore, Thekke Variyam Ramanathan, Feras Shaker Mahmood Batah   +2 more
doaj  

KINERJA JACKKNIFE RIDGE REGRESSION DALAM MENGATASI MULTIKOLINEARITAS

E-Jurnal Matematika, 2014
Ordinary least square is a parameter estimations for minimizing residual sum of squares. If the multicollinearity was found in the data, unbias estimator with minimum variance could not be reached.
HANY DEVITA, I KOMANG GDE SUKARSA, I PUTU EKA N. KENCANA   +2 more
doaj   +1 more source

Multiscale Hybrid Surface Topographies Orchestrate Immune Regulation, Antibacterial Defense, and Tissue Regeneration

Advanced Healthcare Materials, EarlyView.
Hybrid wrinkled topographies coordinate immune, tissue, and bacterial interactions. The surfaces promote osteointegration, tune macrophage polarization, and inhibit biofilm formation, highlighting a multifunctional strategy for next‐generation implant design.
Mohammad Asadi Tokmedash, Jacob Robins, J. Scott VanEpps, Minji Kim, Jouha Min   +4 more
wiley   +1 more source

New Robust Estimators for Handling Multicollinearity and Outliers in the Poisson Model: Methods, Simulation and Applications

Axioms, 2022
The Poisson maximum likelihood (PML) is used to estimate the coefficients of the Poisson regression model (PRM). Since the resulting estimators are sensitive to outliers, different studies have provided robust Poisson regression estimators to alleviate ...
Issam Dawoud, Fuad A. Awwad, Elsayed Tag Eldin, Mohamed R. Abonazel   +3 more
doaj   +1 more source

In Vivo Skin 3‐D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing

Advanced Healthcare Materials, EarlyView.
A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha, Arpit Agarwal, Catherine Li, Austin Williams, Dinesh K. Patel, Sankalp Chopkar, Achu Wilson, Ahmet Ozkan, Wenzhen Yuan, Sonal Choudhary, Arash Mostaghimi, Zackory Erickson, Carmel Majidi   +12 more
wiley   +1 more source