Jackknife empirical likelihood for the error variance in linear models

Journal of Nonparametric Statistics ◽

10.1080/10485252.2017.1285028 ◽

2017 ◽

Vol 29 (2) ◽

pp. 151-166 ◽

Author(s):

Hui-Ling Lin ◽

Zhouping Li ◽

Dongliang Wang ◽

Yichuan Zhao

Keyword(s):

Empirical Likelihood ◽

Linear Models ◽

Error Variance ◽

Jackknife Empirical Likelihood

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Jackknife empirical likelihood of error variance in partially linear varying-coefficient errors-in-variables models

Statistical Papers ◽

10.1007/s00362-015-0689-8 ◽

2015 ◽

Vol 58 (1) ◽

pp. 95-122

Author(s):

Ai-Ai Liu ◽

Han-Ying Liang

Keyword(s):

Empirical Likelihood ◽

Error Variance ◽

Errors In Variables ◽

Varying Coefficient ◽

Partially Linear ◽

Jackknife Empirical Likelihood

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Jackknife empirical likelihood of error variance for partially linear varying-coefficient model with missing covariates

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2021.1938128 ◽

2021 ◽

pp. 1-23

Author(s):

Yuye Zou ◽

Chengxin Wu ◽

Guoliang Fan ◽

Riquan Zhang

Keyword(s):

Empirical Likelihood ◽

Error Variance ◽

Missing Covariates ◽

Varying Coefficient Model ◽

Varying Coefficient ◽

Partially Linear ◽

Jackknife Empirical Likelihood

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Jackknife empirical likelihood for the error variance in linear errors-in-variables models with missing data

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2020.1824274 ◽

2020 ◽

pp. 1-14

Author(s):

Hong-Xia Xu ◽

Guo-Liang Fan ◽

Jiang-Feng Wang

Keyword(s):

Missing Data ◽

Empirical Likelihood ◽

Error Variance ◽

Errors In Variables ◽

Jackknife Empirical Likelihood

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COMPLETE CONVERGENCE OF ERROR VARIANCE ESITIMATES UNDER ϕ-MIXING ERROR IN LINEAR MODELS

Acta Mathematica Scientia ◽

10.1016/s0252-9602(18)30131-0 ◽

1994 ◽

Vol 14 (4) ◽

pp. 417-425

Author(s):

Liugen Xue

Keyword(s):

Complete Convergence ◽

Linear Models ◽

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Jackknife empirical likelihood confidence intervals for assessing heterogeneity in meta-analysis of rare binary event data

Contemporary Clinical Trials ◽

10.1016/j.cct.2021.106440 ◽

2021 ◽

pp. 106440

Author(s):

Guanshen Wang ◽

Yichen Cheng ◽

Min Chen ◽

Xinlei Wang

Keyword(s):

Confidence Intervals ◽

Empirical Likelihood ◽

Meta Analysis ◽

Binary Event ◽

Jackknife Empirical Likelihood

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Invariance principles and almost sure central limit theorem for the error variance estimator in linear models

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2014.895841 ◽

2016 ◽

Vol 45 (11) ◽

pp. 3223-3235

Author(s):

Yu Miao ◽

Wei-Qiang Geng ◽

Saralees Nadarajah

Keyword(s):

Central Limit Theorem ◽

Limit Theorem ◽

Central Limit ◽

Linear Models ◽

Error Variance ◽

Variance Estimator ◽

Invariance Principles

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Jackknife empirical likelihood-based inferences for Lorenz curve with kernel smoothing

Communication in Statistics- Theory and Methods ◽

10.1080/03610926.2017.1417426 ◽

2018 ◽

Vol 48 (3) ◽

pp. 559-582 ◽

Author(s):

Shan Luo ◽

Gengsheng Qin

Keyword(s):

Empirical Likelihood ◽

Lorenz Curve ◽

Kernel Smoothing ◽

Jackknife Empirical Likelihood

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Empirical likelihood-based inference in linear models with interval censored data

Applied Mathematics-A Journal of Chinese Universities ◽

10.1007/s11766-005-0010-z ◽

2005 ◽

Vol 20 (3) ◽

pp. 338-346

Author(s):

He Qixiang ◽

Zheng Ming

Keyword(s):

Censored Data ◽

Empirical Likelihood ◽

Linear Models ◽

Interval Censored Data ◽

Interval Censored

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Jackknife empirical likelihood for growing dimensional nonsmooth estimating equations

Scientia Sinica Mathematica ◽

10.1360/scm-2018-0239 ◽

2019 ◽

Vol 49 (8) ◽

pp. 1103

Author(s):

Li Zhouping ◽

Yang Fan ◽

Wei Yang

Keyword(s):

Empirical Likelihood ◽

Estimating Equations ◽

Jackknife Empirical Likelihood

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Empirical likelihood for linear models with missing responses

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2008.12.009 ◽

2009 ◽

Vol 100 (7) ◽

pp. 1353-1366 ◽

Author(s):

Liugen Xue

Keyword(s):

Empirical Likelihood ◽

Linear Models ◽

Missing Responses

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