Results 81 to 90 of about 3,804 (260)

Weighted robust improved KL M-estimators for linear regression model in presence of multicollinearity and outliers: simulation and applications

Research in Statistics
In the presence of multicollinearity and outliers, the ordinary least squares (OLS) estimator becomes unstable. In addition, existing ridge and robust ridge estimators tend to become ineffective when there is significant contamination.
Danish Wasim, Qamruz Zaman, Sidra Nawaz, B. M. Golam Kibria   +3 more
doaj   +1 more source

Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions

Advanced Engineering Materials, EarlyView.
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi, Kimiya Tajik, Harvey Shaw, Matti Isakov, Sami Pajunen, Lauri Rautkari   +5 more
wiley   +1 more source

A new class of efficient and debiased two-step shrinkage estimators: method and application. [PDF]

J Appl Stat, 2022
Qasim M, Månsson K, Sjölander P, Kibria BMG.   +3 more
europepmc   +1 more source

Improving Confidence Interval Estimation in Logistic Regression with Multicollinear Predictors: A Comparative Study of Shrinkage Estimators and Application to Prostate Cancer Data

Stats
In logistic regression with finite binary samples and multicollinear predictors, the maximum likelihood estimator often results in overfitting and high mean squared error (MSE).
Sultana Mubarika Rahman Chowdhury, Zoran Bursac, B. M. Golam Kibria   +2 more
doaj   +1 more source

On Reliability Estimation for the Exponential Distribution Based on Monte Carlo Simulation

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2018
        This Research deals with estimation the reliability function for two-parameters Exponential distribution, using different estimation methods ; Maximum likelihood, Median-First Order Statistics, Ridge Regression, Modified Thompson-Type Shrinkage ...
Abbas Najim Salman, Taha Anwar Taha
doaj   +1 more source

Compatibility of Methacrylate Based Resins Controls Interfacial Failure and Toughness in 3D‐Printed Multimaterial Composites

Advanced Engineering Materials, EarlyView.
This work shows that the mechanical performance of multimaterial digital light processing (DLP) printed thermoset composites is governed by resin compatibility and interfacial design rather than spatial patterning alone. Brittle and ductile resin combinations produced premature interfacial failure, while graded interfaces and mechanically compatible ...
Ahmed M. H. Ibrahim, Li Meng, Ahmad R. Najafi, Nicolas J. Alvarez   +3 more
wiley   +1 more source

Some Shrinkage estimators based on median ranked set sampling. [PDF]

J Appl Stat, 2021
Ebegil M, Özdemir YA, Gökpinar F.
europepmc   +1 more source

Exploring Curvature Effects in Direct‐Written 3D Curved Hollow Magnetic Nanoshells

Advanced Functional Materials, EarlyView.
Fabricated by a hybrid FEBID/CVD method, 3D PtC/Co3Fe core–shell heterostructures with engineered curvature and shell thickness exhibit complex reversal modes with axially symmetric N'eel‐type domain walls. XMCD‐PEEM combined with full‐scale micromagnetic simulations reveal how curvature and thickness govern the domain wall energy landscape and shape ...
Oleksii M. Volkov, Fabrizio Porrati, Florian Kronast, Riccardo Hertel, Pavlo Makushko, Olha Bezsmertna, Alexander Kuprava, Mohamad‐Assaad Mawass, Sven Barth, Michael Huth, Denys Makarov   +10 more
wiley   +1 more source

A Simulation-Based Comparative Analysis of Two-Parameter Robust Ridge M-Estimators for Linear Regression Models

Stats
Traditional regression estimators like Ordinary Least Squares (OLS) and classical ridge regression often fail under multicollinearity and outlier contamination respectively.
Bushra Haider, Syed Muhammad Asim, Danish Wasim, B. M. Golam Kibria   +3 more
doaj   +1 more source

Human Gut Bacteria and Lipidic Nanoparticles: Particle Composition Predicts Structural Transformation and Bacterial Biocompatibility

Advanced Functional Materials, EarlyView.
Lipidic nanoparticles (LNPs) were incubated with 21 gut bacteria frequently associated with the human microbiome. SAXS revealed that ∼75% of tested species induced structural transformations in monoolein LNPs, whereas phytantriol and phospholipid formulations remained unaffected.
Jonathan Caukwell, Emily L. Gulliver, Livia Salvati Manni, Frithjof Herb, Caitlin Welsh, Samuel C. Forster, Andrew J. Clulow, Wye‐Khay Fong   +7 more
wiley   +1 more source