Results 111 to 120 of about 4,134,105 (306)
Empirical Likelihood for Linear Models
If one wants to test the hypothesis that independent random vectors \(Z_ 1, \dots,Z_ n\) are identically distributed with expected value \(\mu\) while otherwise this common distribution remains unspecified, one can use what the author calls the ``empirical likelihood ratio statistic'' \[ R(\mu) = \max \left\{ \prod^ n_{i = 1} np_ i \mid p_ i \geq 0 ...
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Adjusted Jackknife Empirical Likelihood
Jackknife empirical likelihood (JEL) is an effective modified version of empirical likelihood method (EL). Through the construction of the jackknife pseudo-values, JEL overcomes the computational difficulty of EL method when its constraints are nonlinear while maintaining the same asymptotic results for one sample and two-sample U statistics.
Chen, Ying-Ju, Ning, Wei
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Maximum Augmented Empirical Likelihood Estimation of Categorical Marginal Models for Large Sparse Contingency Tables. [PDF]
van der Ark LA, Bergsma WP, Koopman L.
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Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Jackknife Empirical Likelihood-based inference for S-Gini indices
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 +2 more
core
Empirical Likelihood for a First-Order Generalized Random Coefficient Integer-Valued Autoregressive Process. [PDF]
Cheng J, Wang X, Wang D.
europepmc +1 more source
Grain Boundary Space Charge Engineering of Solid Oxide Electrolytes: Model Thin Film Study
This study demonstrates unprecedented control of grain boundary electrical properties in solid electrolytes. Selective diffusion of cations through grain boundaries in thin films enables 12 orders of magnitude variation in ionic resistance, proving that systematic chemical modification of grain boundary electrical properties is feasible.
Thomas Defferriere +5 more
wiley +1 more source
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
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Moment Conditions Selection Based on Adaptive Penalized Empirical Likelihood
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
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Information Theory Estimators for the First-Order Spatial Autoregressive Model
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 +2 more
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