Results 101 to 110 of about 1,302,502 (286)

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

Evaluation of Plasticity and Creep Parameters From Tensile Stress–Strain Data for a Range of Strain Rates

Advanced Engineering Materials, EarlyView.
This plot compares experimental tensile stress–strain curves (with 4 different strain rates) and corresponding modelled curves (obtained using the optimised sets of Voce and Miller–Norton parameter values shown). The inferred M‐N values, characterizing the creep, are very similar to those obtained via conventional creep testing.
S. Ooi, R. P. Thompson, T. W. Clyne
wiley   +1 more source

Empirical Inferences Under Bayesian Framework to Identify Cellwise Outliers

Stats
Outliers are typically identified using frequentist methods. The data are classified as “outliers” or “not outliers” based on a test statistic that measures the magnitude of the difference between a value and the majority part of the data.
Luca Sartore, Lu Chen, Valbona Bejleri
doaj   +1 more source

Variable selection in generalized random coefficient autoregressive models

Journal of Inequalities and Applications, 2018
In this paper, we consider the variable selection problem of the generalized random coefficient autoregressive model (GRCA). Instead of parametric likelihood, we use non-parametric empirical likelihood in the information theoretic approach. We propose an
Zhiwen Zhao, Yangping Liu, Cuixin Peng
doaj   +1 more source

Jackknife Empirical Likelihood-based inference for S-Gini indices

, 2018
Widely used income inequality measure, Gini index is extended to form a family of income inequality measures known as Single-Series Gini (S-Gini) indices.
Kattumannil, Sudheesh K, N, Sreelakshmi, Sen, Rituparna   +2 more
core  

On the Coverage Bound Problem of Empirical Likelihood Methods For Time Series [PDF]

, 2014
The upper bounds on the coverage probabilities of the confidence regions based on blockwise empirical likelihood [Kitamura (1997)] and nonstandard expansive empirical likelihood [Nordman et al.
Shao, Xiaofeng, Zhang, Xianyang
core  

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

Exploring Dipolar Dynamics and Ionic Transport in Metal‐Organic Frameworks: Experimental and Theoretical Insights

Advanced Functional Materials, EarlyView.
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund, Arthur Schulz, Peter Lunkenheimer, Maryana Kraft, Thomas Bergler, Harald Oberhofer, Dirk Volkmer   +6 more
wiley   +1 more source

Empirical likelihood confidence intervals for complex sampling designs

, 2015
We define an empirical likelihood approach which gives consistent design-based confidence intervals which can be calculated without the need of variance estimates, design effects, resampling, joint inclusion probabilities and linearization, even when the
Berger, Y.G., De La Riva Torres, O.
core   +1 more source

Empirical likelihood confidence interval for sensitivity to the early disease stage. [PDF]

Pharm Stat, 2022
Rahman H, Zhao Y, Alzheimer's Disease Neuroimaging Initiative.   +2 more
europepmc   +1 more source