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Efficient parameter estimation in regression with missing responses

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  • Muller, Ursula
  • Van Keilegom, Ingrid

Abstract

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Suggested Citation

  • Muller, Ursula & Van Keilegom, Ingrid, 2012. "Efficient parameter estimation in regression with missing responses," LIDAM Reprints ISBA 2012010, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
  • Handle: RePEc:aiz:louvar:2012010
    Note: In : Electronic Journal of Statistics, vol. 6, p. 1200-1219 (2012)
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    Cited by:

    1. Muller, Ursula & Van Keilegom, Ingrid, 2013. "Efficient quantile regression with auxiliary information," LIDAM Discussion Papers ISBA 2013011, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    2. Ursula U. Müller & Hanxiang Peng & Anton Schick, 2019. "Inference about the slope in linear regression: an empirical likelihood approach," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 71(1), pages 181-211, February.
    3. Yu Shen & Han-Ying Liang, 2018. "Quantile regression and its empirical likelihood with missing response at random," Statistical Papers, Springer, vol. 59(2), pages 685-707, June.
    4. Han, Peisong, 2012. "A note on improving the efficiency of inverse probability weighted estimator using the augmentation term," Statistics & Probability Letters, Elsevier, vol. 82(12), pages 2221-2228.
    5. Xu Guo & Wangli Xu & Lixing Zhu, 2015. "Model checking for parametric regressions with response missing at random," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(2), pages 229-259, April.

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