Results 91 to 100 of about 257,916 (299)

Empirical likelihood estimators for the error distribution in nonparametric regression models [PDF]

The aim of this paper is to show that existing estimators for the error distribution in nonparametric regression models can be improved when additional information about the distribution is included by the empirical likelihood method.
Kiwitt, Sebastian, Neumeyer, Natalie, Nagel, Eva-Renate   +2 more
core  

Characterization of Aluminized Layers on Inconel‐738 Alloy: Microstructure, Modeling of Aluminizing Kinetics, and Thermal Behavior

Advanced Engineering Materials, EarlyView.
This study explored how effective nickel aluminide coatings are obtained in providing oxidation resistance applied to the Inconel 738 alloy, modeling with diffusion models. In the present study, kinetics and thermal behavior of the Inconel 738 alloy were studied by the low‐temperature thermoreactive aluminizing process, which was carried out at 625°C ...
Gozde Celebi Efe, Tuba Yener, Suayb Cagri Yener, Mourad Keddam, Cuma Bindal   +4 more
wiley   +1 more source

Moment Conditions Selection Based on Adaptive Penalized Empirical Likelihood

Abstract and Applied Analysis, 2014
Empirical likelihood is a very popular method and has been widely used in the fields of artificial intelligence (AI) and data mining as tablets and mobile application and social media dominate the technology landscape.
Yunquan Song
doaj   +1 more source

Information Theory Estimators for the First-Order Spatial Autoregressive Model

Entropy, 2012
Information theoretic estimators for the first-order spatial autoregressive model are introduced, small sample properties are investigated, and the estimator is applied empirically. Monte Carlo experiments are used to compare finite sample performance of
Evgeniy V. Perevodchikov, Thomas L. Marsh, Ron C. Mittelhammer   +2 more
doaj   +1 more source

Maximum Augmented Empirical Likelihood Estimation of Categorical Marginal Models for Large Sparse Contingency Tables. [PDF]

Psychometrika, 2023
van der Ark LA, Bergsma WP, Koopman L.
europepmc   +1 more source

Large Deviations of Generalized Method of Moments and Empirical  Likelihood Estimators [PDF]

This paper studies large deviation properties of the generalized method of moments and generalized empirical likelihood estimators for moment restriction models.
Taisuke Otsu
core  

Innovative Processing of Compacted Waste Aluminum Alloy Powders via Controlled Remelting and Solidification

Advanced Engineering Materials, EarlyView.
This study demonstrates an efficient recycling route for out‐of‐spec AlSi10Mg atomized powders through compaction and arc remelting followed by suction casting. By correlating compaction load, cooling rate, and resulting microstructure, we show that intermediate pressures (50–80 kN) and rapid cooling refine dendrites, reduce porosity, and enhance ...
Mila Christy de Oliveira, Marcella Gaute Cavalcante Xavier, Abdoul‐Aziz Bogno, Piter Gargarella, José Eduardo Spinelli   +4 more
wiley   +1 more source

Identification and Empirical Likelihood Inference in Nonlinear Regression Model with Nonignorable Nonresponse

Mathematics
The identification of model parameters is a central challenge in the analysis of nonignorable nonresponse data. In this paper, we propose a novel penalized semiparametric likelihood method to obtain sparse estimators for a parametric nonresponse ...
Xianwen Ding, Xiaoxia Li
doaj   +1 more source

Empirical Likelihood for a First-Order Generalized Random Coefficient Integer-Valued Autoregressive Process. [PDF]

J Syst Sci Complex, 2023
Cheng J, Wang X, Wang D.
europepmc   +1 more source

Testing for Non-nested Conditional Moment Retrictions via Conditional Empirical Likelihood [PDF]

We propose non-nested tests for competing conditional moment resctriction models using a method of empirical likelihood. Our tests are based on the method of conditional empirical likelihood developed by Kitamura, Tripathi and Ahn (2004) and Zhang and ...
Taisuke Otsu, Yoon-Jae Whang
core