Results 61 to 70 of about 1,310,543 (184)
On Bartlett Correctability of Empirical Likelihood in Generalized Power Divergence Family [PDF]
Baggerly (1998) showed that empirical likelihood is the only member in the Cressie-Read power divergence family to be Bartlett correctable. This paper strengthens Baggerly's result by showing that in a generalized class of the power divergence family ...
Lorenzo Camponovo, Taisuke Otsu
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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
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A pseudo empirical likelihood approach for stratified samples with nonresponse
, 2009 Nonresponse is common in surveys. When the response probability of a survey variable $Y$ depends on $Y$ through an observed auxiliary categorical variable $Z$ (i.e., the response probability of $Y$ is conditionally independent of $Y$ given $Z$), a simple
Fang, Fang, Hong, Quan, Shao, Jun
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Empirical Likelihood for Linear Models
The Annals of Statistics, 1991 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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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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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
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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
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Reduce computation in profile empirical likelihood method [PDF]
Since its introduction by Owen in [29, 30], the empirical likelihood method has been extensively investigated and widely used to construct confidence regions and to test hypotheses in the literature.
Li, Minqiang, Peng, Liang, Qi, Yongcheng
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Bayesian interpretation of Generalized empirical likelihood by maximum entropy [PDF]
, 2011 We study a parametric estimation problem related to moment condition models. As an alternative to the generalized empirical likelihood (GEL) and the generalized method of moments (GMM), a Bayesian approach to the problem can be adopted, extending the MEM
Rochet, Paul
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