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Joint empirical likelihood confidence regions for a finite number of quantiles under negatively associated samples

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Abstract

In this paper, the authors obtain the joint empirical likelihood confidence regions for a finite number of quantiles under negatively associated samples. As an application of this result, the empirical likelihood confidence intervals for the difference of any two quantiles are also developed.

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References

  1. Block H W, Savits T H, and Sharked M, Some concepts of negative dependence, Ann. Probab., 1982, 10: 765–3.

    Article  MATH  MathSciNet  Google Scholar 

  2. Joag-Dev K and Proschan F, Negative association of random variables with applications, Ann. Statist., 1983, 11: 286–3.

    Article  MATH  MathSciNet  Google Scholar 

  3. Lei Q and Qin Y, Empirical likelihood for quantiles under negatively associated samples, J. Statist. Plann. and Inference, 2011, 141: 1325–3.

    Article  MATH  MathSciNet  Google Scholar 

  4. Cai Z W and Roussas G G, Smooth estimate of quantiles under associate, Statist. Probab. Lett., 1997, 36: 275–3.

    Article  MATH  MathSciNet  Google Scholar 

  5. Chen S X and Hall P, Smoothed empirical likelihood confidence intervals for quantiles, Ann. Statist., 1993, 21: 1166–3.

    Article  MATH  MathSciNet  Google Scholar 

  6. Chen J and Wu C, Estimation of distribution function and quantiles using the model-calibrated pseudo empirical likelihood method, Statist. Sinica, 2002, 12: 1223–3.

    MATH  MathSciNet  Google Scholar 

  7. Kitamura Y, Empirical likelihood methods with weakly dependent processes, Ann. Statist., 1997, 25: 2084–3.

    Article  MATH  MathSciNet  Google Scholar 

  8. Chen S X and Wong C M, Smoothed block empirical likelihood for quantiles of weakly dependent processes, Statistica Sinica, 2009, 19: 71–3.

    MATH  MathSciNet  Google Scholar 

  9. Qin J and Lawless J, Empirical likelihood and general estimating equations, Ann. Statist., 1994, 22: 300–3.

    Article  MATH  MathSciNet  Google Scholar 

  10. Cai Z W and Roussas G G, Berry-esseen bounds for smooth estimator of a distribution function under association, Journal of Nonparametric Statistics, 1999, 11: 79–3.

    Article  MATH  MathSciNet  Google Scholar 

  11. Roussas G G, Asymptotic normality of the kernel estimate of a probability density function under association, Statist. Probab. Lett., 2000, 50: 1–3.

    Article  MATH  MathSciNet  Google Scholar 

  12. Owen A B, Empirical likelihood ratio confidence regions, Ann. Statist., 1990, 18: 90–3.

    Article  MATH  MathSciNet  Google Scholar 

  13. Su C, Zhao L C, and Wang Y B, Moment inequalities and week convergence for negatively associated sequences, Sci. in China (Ser. A), 1997, 40: 172–3.

    Article  MATH  MathSciNet  Google Scholar 

  14. Qin Y and Li Y, Joint asymptotic distributions of kernel estimators of a finite number of quantiles under negatively associated samples, Technical report, Guangxi Normal University, Guilin, 2012.

    Google Scholar 

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Correspondence to Yongsong Qin.

Additional information

This research was supported by the National Natural Science Foundation of China under Grant Nos. 11271088, 11361011, 11201088 and the Natural Science Foundation of Guangxi under Grant No. 2013GXNSFAA019004, 2013GXNSFAA019007, 2013GXNSFBA019001.

This paper was recommended for publication by Editor SUN Liuquan.

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Qin, Y., Li, Y. & Lei, Q. Joint empirical likelihood confidence regions for a finite number of quantiles under negatively associated samples. J Syst Sci Complex 28, 1389–1398 (2015). https://doi.org/10.1007/s11424-015-3085-5

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  • DOI: https://doi.org/10.1007/s11424-015-3085-5

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