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Empirical Likelihood Ratio Confidence Interval for Positively Associated Series

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Abstract

Empirical likelihood is discussed by using the blockwise technique for strongly stationary, positively associated random variables. Our results show that the statistics is asymptotically chi-square distributed and the corresponding confidence interval can be constructed.

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References

  1. Birkel, T. Moment bounds for associated sequence. Ann. Probab., 16: 1184–1193 (1988)

    MATH  MathSciNet  Google Scholar 

  2. Carlstein, E. The use of subseries methods for estimating the variance of a general statistic from a stationary time series. Ann. Statist., 14: 1171–1179 (1986)

    MATH  MathSciNet  Google Scholar 

  3. Esary, J., Proschan, F., Walkup, D. Association of random variables with applications. Ann. Math. Stat., 38: 1466–1476 (1967)

    MathSciNet  Google Scholar 

  4. Kitamura, Y. Empirical likelihood methods with weakly dependent processes. Ann. Statist., 25: 2084–2102 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  5. Künsch, H.R. The jackknife and the bootstrap for general stationary observations. Ann. Statist., 17: 1217–1241 (1989)

    MATH  MathSciNet  Google Scholar 

  6. Lin, L., Runchu, Z. Blockwise empirical Euclidean likelihood for weakly dependent processes. Statist. Probab. Lett., 53: 143–152 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  7. Owen, A. B. Empirical likelihood ratio confidence intervals for a single functional. Biometrika, 75: 237–249 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  8. Owen, A.B. Empirical likelihood confidence regions. Ann. Statist., 18: 90–120 (1990)

    MATH  MathSciNet  Google Scholar 

  9. Owen, A.B. Empirical likelihood. Chapman and Hall, London, 2001

  10. Peligard, M., Suresh. R. Estimation of variance of partial sums of an associated sequence of random variables. Stochastic Process. Appl., 56: 307–319 (1995)

    Article  MathSciNet  Google Scholar 

  11. Politis, D.N., Romano, J.P. A general resampling scheme for triangular arrays of α–mixing random variables with application to the problem of spectral density estimation. Ann. Statist., 20: 1985–2007 (1992)

    MATH  MathSciNet  Google Scholar 

  12. Zhang, J.J. Empirical likelihood for NA series. Statist. Probab. Lett., 76: 153–160 (2006)

    MATH  MathSciNet  Google Scholar 

  13. Zhang, J.J., Wang, C. M., Wang, W.X. Empirical likelihood confidence regions for dependent samples. Applied Mathematics A Journal of Chinese Universities, 14(A): 63–72 (1999) (in Chinese)

    MATH  Google Scholar 

  14. Zhang, L.X. The weak convergence for functions of Negatively associated random variables. J. Mul. Anal., 78: 272–298 (2001)

    Article  MATH  Google Scholar 

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Correspondence to Jun-jian Zhang.

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Supported by the National Natural Science Foundation of China (No. 10661003).

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Zhang, Jj. Empirical Likelihood Ratio Confidence Interval for Positively Associated Series. Acta Mathematicae Applicatae Sinica, English Series 23, 245–254 (2007). https://doi.org/10.1007/s10255-007-0367-2

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  • DOI: https://doi.org/10.1007/s10255-007-0367-2

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