Results 121 to 130 of about 479,757 (331)
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 +3 more
wiley +1 more source
Post-l1-penalized estimators in high-dimensional linear regression models [PDF]
In this paper we study post-penalized estimators which apply ordinary, unpenalized linear regression to the model selected by first-step penalized estimators, typically LASSO. It is well known that LASSO can estimate the regression function at nearly the
Victor Chernozhukov, Alexandre Belloni
core
Shrinkage Approaches for Ridge-Type Estimators Under Multicollinearity
MathematicsMulticollinearity is a common issue in regression analyses that occurs when some predictor variables are highly correlated, leading to unstable least squares estimates of model parameters.
Marwan Al-Momani +4 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.X‐ray computed tomography reveals how process‐induced defects evolve from green to sintered states in Fused Filament Fabrication (FFF)‐manufactured 17‐4PH stainless steel. Internal porosity, weakest cross‐sections, and fracture locations show strong correlation with tensile performance, demonstrating the potential of computed tomography (CT)‐based ...
György Ledniczky +3 more
wiley +1 more source
Calibration of shrinkage estimators for portfolio optimization [PDF]
Shrinkage estimators is an area widely studied in statistics. In this paper, we contemplate the role of shrinkage estimators on the construction of the investor's portfolio.
Alberto Martín Utrera +2 more
core
Some Shrinkage estimators based on median ranked set sampling. [PDF]
J Appl Stat, 2021 Ebegil M, Özdemir YA, Gökpinar F.
europepmc +1 more source
StatsIn 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 +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
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 +7 more
wiley +1 more source
Double Shrinkage Estimators in the GMANOVA Model
, 1996 In the GMANOVA model or equivalent growth curve model, shrinkage effects on the MLE (maximum likelihood estimator) are considered under an invariant risk matrix.
Konno, Yoshihiko +2 more
core +1 more source