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.
Similar content being viewed by others
References
Birkel, T. Moment bounds for associated sequence. Ann. Probab., 16: 1184–1193 (1988)
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)
Esary, J., Proschan, F., Walkup, D. Association of random variables with applications. Ann. Math. Stat., 38: 1466–1476 (1967)
Kitamura, Y. Empirical likelihood methods with weakly dependent processes. Ann. Statist., 25: 2084–2102 (1997)
Künsch, H.R. The jackknife and the bootstrap for general stationary observations. Ann. Statist., 17: 1217–1241 (1989)
Lin, L., Runchu, Z. Blockwise empirical Euclidean likelihood for weakly dependent processes. Statist. Probab. Lett., 53: 143–152 (2001)
Owen, A. B. Empirical likelihood ratio confidence intervals for a single functional. Biometrika, 75: 237–249 (1988)
Owen, A.B. Empirical likelihood confidence regions. Ann. Statist., 18: 90–120 (1990)
Owen, A.B. Empirical likelihood. Chapman and Hall, London, 2001
Peligard, M., Suresh. R. Estimation of variance of partial sums of an associated sequence of random variables. Stochastic Process. Appl., 56: 307–319 (1995)
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)
Zhang, J.J. Empirical likelihood for NA series. Statist. Probab. Lett., 76: 153–160 (2006)
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)
Zhang, L.X. The weak convergence for functions of Negatively associated random variables. J. Mul. Anal., 78: 272–298 (2001)
Author information
Authors and Affiliations
Corresponding author
Additional information
Supported by the National Natural Science Foundation of China (No. 10661003).
Rights and permissions
About this article
Cite this article
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
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/s10255-007-0367-2