Blockwise empirical Euclidean likelihood for weakly dependent processes

Statistics and Probability Letters

Volumn 53, Issue 2, 2001, Pages 143-152

  Lin, Lu ^a   Zhang, Runchu ^a  

^a NANKAI UNIVERSITY   (China)

Author keywords

Blockwise; Dependent data; Empirical Euclidean likelihood

Indexed keywords

EID: 0041348043     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-7152(01)00066-9     Document Type: Article

References (10)

1. Bühlman, P., Künsch, H.R., 1993. The Blockwise Boostrap for General Parameters of a Stationary Time Series, Research Report N0.70.
2. Dimitris N., Joseph P. A general resampling scheme for triangular arrays of. α -mixing random variables with application to the problem of spectral density estimation Ann. Statist. 20:1992;1985-2007.
3. Kitamura Y. Empirical likelihood methods with weakly dependent processes. Ann. Statist. 25:1997;2084-2102.
4. Lu C.R., Lin Z.Y. Limit Theorem for Mixing Dependent Variables. 1997;Science Press, Beijing.
5. Luo X. Large sample properties of the empirical Euclidean likelihood estimation for semiparametric model. Chinese J. Appl. Pro. Statist. 10:1994;344-352.
6. Luo X. Empirical Euclidean likelihood estimation for two sample semiparametric model. Chinese. J. Appl. Pro. Statist. 13:1997;133-141.
7. Owen A. Empirical likelihood ratio confidence intervals for a single functional. Biometrika. 75:1988;237-249.
8. Owen A. Empirical likelihood ratio confidence intervals regions. Ann. Statist. 18:1990;90-120.
9. Owen A. Empirical likelihood for linear models. Ann. Statist. 19:1991;1725-1747.
10. Qin J., Lawless J. Empirical likelihood and general estimating equations. Ann. Statist. 22:1994;300-325.