Results 81 to 90 of about 3,199,232 (307)
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 +2 more
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Advanced Engineering Materials, EarlyView.Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt +5 more
wiley +1 more source
AxiomsHigh-dimensional non-normal longitudinal data are ubiquitous across fields such as genomics, biomedicine, microbiome research, and the social sciences. Such data often combine non-normal responses, within-subject dependence and sparse population effects.
Jieyi Yi, Ying Wu, Yunqi Zhang
doaj +1 more source
Advanced Engineering Materials, EarlyView.Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic +2 more
wiley +1 more source
Adjusted empirical likelihood confidence regions for stationary autoregressive models
四川大学学报. 自然科学版Autoregressive models are widely used in diverse fields such as economics and information science.The statistical inference problem of autoregressive models is an important research topic in statistics.This paper aims at the adjusted empirical likelihood
HOU Meng-Zhe +2 more
doaj
Empirical Likelihood Methods for Sample Survey Data: An Overview
Austrian Journal of Statistics, 2016 The use of empirical likelihood (EL) in sample surveys dates back to Hartley and Rao (1968). In this paper, an overview of the developments in empirical likelihood methods for sample survey data is presented.
J.N.K. Rao
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Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Advanced Engineering Materials, EarlyView.Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +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
A simple approach to maximum intractable likelihood estimation [PDF]
, 2013 Approximate Bayesian Computation (ABC) can be viewed as an analytic approximation of an intractable likelihood coupled with an elementary simulation step.
Rubio, Francisco J., Johansen, Adam M.
core +1 more source
Empirical-Likelihood-Based Inference for Partially Linear Models
MathematicsPartially linear models find extensive application in biometrics, econometrics, social sciences, and various other fields due to their versatility in accommodating both parametric and nonparametric elements.
Haiyan Su, Linlin Chen
doaj +1 more source