Results 81 to 90 of about 1,302,502 (286)

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
doaj   +1 more source

Empirical likelihood test in a posteriori change-point nonlinear model

, 2014
In this paper, in order to test whether changes have occurred in a nonlinear parametric regression, we propose a nonparametric method based on the empirical likelihood.
Ciuperca, Gabriela, Salloum, Zahraa
core   +3 more sources

Minimal important change and minimal clinically important difference in pain and function with exercise in hip osteoarthritis

Arthritis Care &Research, Accepted Article.
Objective The objective of this study was to estimate the minimal important change (MIC) and minimal clinically important difference (MCID) for pain and physical function in individuals with hip osteoarthritis (OA) following a physiotherapist‐guided exercise intervention.
Yareni Guerrero, Fiona Dobson, Venkatesha Venkatesha, Kim Allison, Gabrielle Knox, Libby Spiers, Travis Haber, David J Hunter, Michelle Hall   +8 more
wiley   +1 more source

Empirical-Likelihood-Based Inference for Partially Linear Models

Mathematics
Partially 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

Bayesian Semiparametric Hierarchical Empirical Likelihood Spatial Models [PDF]

, 2014
We introduce a general hierarchical Bayesian framework that incorporates a flexible nonparametric data model specification through the use of empirical likelihood methodology, which we term semiparametric hierarchical empirical likelihood (SHEL) models ...
Holan, Scott H., Porter, Aaron T., Wikle, Christopher K.   +2 more
core  

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Mean Empirical Likelihood Inference for Response Mean with Data Missing at Random

Discrete Dynamics in Nature and Society, 2020
We extend the mean empirical likelihood inference for response mean with data missing at random. The empirical likelihood ratio confidence regions are poor when the response is missing at random, especially when the covariate is high-dimensional and the ...
Hanji He, Guangming Deng
doaj   +1 more source

Second-order Refinement of Empirical Likelihood for Testing  Overidentifying Restrictions [PDF]

This paper studies second-order properties of the empirical likelihood overidentifying restriction test to check the validity of moment condition models.
Taisuke Otsu, Yukitoshi Matsushita
core  

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

Empirical Likelihood for Generalized Functional-Coefficient Regression Models with Multiple Smoothing Variables under Right Censoring Data

Discrete Dynamics in Nature and Society, 2020
Empirical likelihood as a nonparametric approach has been demonstrated to have many desirable merits for constructing a confidence region. The purpose of this article is to apply the empirical likelihood method to study the generalized functional ...
Hong-Xia Xu, Han-Sheng Zhong, Guo-Liang Fan   +2 more
doaj   +1 more source