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Journal of Statistical Computation and Simulation Volume 83, 2013 - Issue 4
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Original Articles

Empirical likelihood for nonlinear models with missing responses

Gabriela Ciuperca Université de Lyon, CNRS, Université Lyon 1, Institut Camille Jordan, Bat. Braconnier, 43, blvd du 11 novembre 1918, F - 69622, Villeurbanne Cedex, FranceCorrespondence[email protected]
Pages 739-758 | Received 07 Sep 2010, Accepted 22 Oct 2011, Published online: 21 Nov 2011

Citations (5)

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Read on this site (1)

Roberto Baragona, Francesco Battaglia & Domenico Cucina. (2018) Empirical likelihood for outlier detection in regression models. Journal of Statistical Theory and Practice 12:2, pages 255-281.
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Articles from other publishers (4)

Yu Shen & Han-Ying Liang. (2016) Quantile regression and its empirical likelihood with missing response at random. Statistical Papers 59:2, pages 685-707.
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Gabriela Ciuperca & Zahraa Salloum. (2015) Empirical likelihood test in a posteriori change-point nonlinear model. Metrika 78:8, pages 919-952.
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Xiaofeng Lv & Rui Li. (2013) Smoothed empirical likelihood analysis of partially linear quantile regression models with missing response variables. AStA Advances in Statistical Analysis 97:4, pages 317-347.
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Nian-Sheng Tang & Pu-Ying Zhao. (2012) Empirical likelihood semiparametric nonlinear regression analysis for longitudinal data with responses missing at random. Annals of the Institute of Statistical Mathematics 65:4, pages 639-665.
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