Results 121 to 130 of about 257,916 (299)

Enhanced empirical likelihood estimation of incubation period of COVID-19 by integrating published information. [PDF]

Stat Med, 2021
Jiang Z, Yang B, Qin J, Zhou Y.
europepmc   +1 more source

Experimental and Numerical Modal Analysis of Composite Sandwich Structures Using Surfboards as Model Systems

Advanced Engineering Materials, EarlyView.
This article presents an experimental and numerical modal investigation of composite sandwich structures using surfboards as model systems. By comparing different core materials and reinforcement strategies, the study demonstrates how local stiffeners influence vibrational response and introduce characteristic modal features, highlighting modal ...
Brett Connellan, Luca Lomazzi, Mathis Mercier, Kara Stark, Marc in het Panhuis   +4 more
wiley   +1 more source

Stochastic Arbitrage Opportunities: Set Estimation and Statistical Testing

Mathematics
We provide a formal statistical theory of consistent estimation of the set of all arbitrage portfolios that meet the description of being a stochastic arbitrage opportunity.
Stelios Arvanitis, Thierry Post
doaj   +1 more source

Jackknife empirical likelihood confidence intervals for assessing heterogeneity in meta-analysis of rare binary event data. [PDF]

Contemp Clin Trials, 2021
Wang G, Cheng Y, Chen M, Wang X.
europepmc   +1 more source

EMPIRICAL LIKELIHOOD ESTIMATORS OF THE LINEAR SIMULTANEOUS EQUATIONS MODEL

Information theoretic estimators are specified for a system of linear simultaneous equations, including maximum empirical likelihood, maximum empirical exponential likelihood, and maximum log Euclidean likelihood.
Judge, George G., Mittelhammer, Ronald C., Marsh, Thomas L.   +2 more
core  

Finite Sample Properties of One-step, Two-step and Bootstrap Empirical Likelihood Approaches to Efficient GMM Estimation [PDF]

This paper compares conventional GMM estimators to empirical likelihood based GMM estimators which employ a semiparametric efficient estimate of the unknown distribution function of the data.
Joachim Inkmann
core  

Triple Junctions as Dislocation‐Like Defects: The Role of Grain Boundary Crystallography Revealed by Experiment and Atomistic Simulation

Advanced Engineering Materials, EarlyView.
Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink, Saba Saood, Peter Schweizer, Jörg Neugebauer, Gerhard Dehm   +4 more
wiley   +1 more source

Two-Stage Estimation of Partially Linear Varying Coefficient Quantile Regression Model with Missing Data

Mathematics
In this paper, the statistical inference of the partially linear varying coefficient quantile regression model is studied under random missing responses.
Shuanghua Luo, Yuxin Yan, Cheng-yi Zhang
doaj   +1 more source

Defect Evolution and Mechanical Performance of Fused Filament Fabrication‐Manufactured 17‐4PH Stainless Steel Revealed by X‐Ray Computed Tomography

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, Márk Sárközi, Ibolya Zsoldos, Zoltán Weltsch   +3 more
wiley   +1 more source

Goodness-of-Fit Tests via Entropy-Based Density Estimation Techniques

Stats
Goodness-of-fit testing remains a fundamental problem in statistical inference with broad practical importance. In this paper, we introduce two new goodness-of-fit tests grounded in entropy-based density estimation techniques.
Luai Al-Labadi, Ruodie Yu, Kairui Bao
doaj   +1 more source