References
- Babu, G. K., K. Singh, and Y. N. Yang. 2003. Edgeworth expansions for compound Poisson processes and the Bootstrap. Annals of the Institute of Statistical Mathematics 55 (1):83–94. doi:https://doi.org/10.1007/BF02530486.
- Blum, J. R., D. L. Hanson, and J. I. Rosenblatt. 1963. On the central limit theorem for the sum of a random number of independent random variables. Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete 1 (4):389–93. doi:https://doi.org/10.1007/BF00533414.
- Chen, B. B., G. M. Pan, Q. Yang, and W. Zhou. 2016. Large dimensional empirical likelihood. Statistica Sinica 25:1659–77. doi:https://doi.org/10.5705/ss.2013.246.
- Cheng, C. H., Z. Liu, and Y. Wan. 2017. Empirical likelihood for compound Poisson processes under infinite second moment. Communications in Statistics - Theory and Methods 46 (17):8618–27. doi:https://doi.org/10.1080/03610926.2016.1185122.
- Claeskens, G., B.-Y. Jing, L. Peng, and W. Zhou. 2003. Empirical likelihood confidence regions for comparison distributions and ROC curves. Canadian Journal of Statistics 31 (2):173–90. doi:https://doi.org/10.2307/3316066.
- Giné, E., F. Götze, and D. M. Mason. 1997. When is the student t-statistic asymptotically standard normal. The Annals of Probability 25 (3):1514–31. doi:https://doi.org/10.1214/aop/1024404523.
- Jing, B.-Y. 1995. Two-sample empirical likelihood method. Statistics & Probability Letters 24 (4):315–19. doi:https://doi.org/10.1016/0167-7152(94)00189-F.
- Jing, B.-Y., J. Q. Yuan, and W. Zhou. 2009. Jackknife empirical likelihood. Journal of the American Statistical Association 104 (487):1224–32. doi:https://doi.org/10.1198/jasa.2009.tm08260.
- Li, Z. P., X. P. Wang, and W. Zhou. 2012. Empirical likelihood for compound poisson processes. Australian & New Zealand Journal of Statistics 54 (4):463–74. doi:https://doi.org/10.1111/j.1467-842X.2012.00678.x.
- Qin, J. 1994. Semi-parametric likelihood ratio confidence intervals for the difference of two sample means. Annals of the Institute of Statistical Mathematics 46 (1):117–26. doi:https://doi.org/10.1007/BF00773597.
- Qin, J. 1998. Inferences for case-control and semiparametric twosample density ratio models. Biometrika 85 (3):619–30. doi:https://doi.org/10.1093/biomet/85.3.619.
- Qin, J., and B. Zhang. 2007. Empirical-likelihood-based inference in missing response problems and its application in observational studies. Journal of the Royal Statistical Society, Series B 69:101–22.
- Rényi, A. 1957. On the asymotitic distribution of the sum of a random number of independent random variables. Acta Mathematica Academiae Scientiarum Hungaricae 8 (1-2):193–99. doi:https://doi.org/10.1007/BF02025242.
- Sepanski, S. J. 1996. Asymptotics for multivariate t-statistic for random vectors in the generalized domain of attraction of the multivariate normal law. Statistics & Probability Letters 30 (2):179–88. doi:https://doi.org/10.1016/0167-7152(95)00217-0.
- Wu, C., and Y. Yan. 2012. Empirical likelihood inference for two-sample problems. Statistics and Its Interface 5 (3):345–54. doi:https://doi.org/10.4310/SII.2012.v5.n3.a7.
- Zhang. B. 2000. Estimating the treatment effect in the two-sample problem with auxiliary information. Journal of Nonparametric Statistics 12 (3):377–89. doi:https://doi.org/10.1080/10485250008832814.
- Zhou. W. 2013. New estimators of spectral distributions of Wigner matrices. Journal of Mathematical Physics 54 (3):033503. doi:https://doi.org/10.1063/1.4794075.