References
- Babu, G.J. (1986). Bootstrapping statistics with linear combinations of chi-squares as weak limit. Sankhya Ser. A. 56:85–93.
- Bhattacharya, R.N., Ranga Rao, R. (1986). Normal Approximations and Asymptotic Expansions. Malabar, FL:Krieger.
- Bühlmann, P. (1997). Sieve bootstrap for time series. Bernoulli 3:128–148.
- Davison, A.C., Hinkley, D.V. (1997). Bootstrap Methods and Their Application. Cambridge, UK:Cambridge University Press.
- Efron, B. (1979). Bootstrap methods: Another look at the jackknife. Annals Stat. 7:1–16.
- Hall, P., Horowitz, J.L., Jing, B.Y. (1995). On blocking rules for the bootstrap withe dependent data. Biometrika 82:561–574.
- Lahiri, S.N. (1992). Bootstrapping m-estimators of a multiple linear regression parameter. Annals Stat. 20:1548–1570.
- Lahiri, S.N. (1994). On two-term Edgeworth expansions and bootstrap approximations for studentized multivariate m-estimators. Sankhya Ser. A. 56:201–226.
- Lahiri, S.N. (1996). On Edgeworth and moving block bootstrap for studentized m-estimators in multiple linear regression models. J. Multivar. Anal. 56:42–59.
- Liang, K.Y., Zeger, S.L. (1986). Longitudinal data analysis using generalized linear models. Biometrika 73:13–22.
- Paparoditis, E., Politis, D.N. (2002). Tapered block bootstrap for general statistics from stationary sequences. Econometric J. 5:131–148.
- Qu, A., Lindsay, B.G., Li, B. (2000). Improving generalized estimating equations using quadratic inference function. Biometrika 87:823–836.
- Singh, K. (1981). On the asymptotic accuracy of the Efron’s bootstrap. Annals Stat. 9:1187–1195.
- Xie, M., Yang, Y. (2003). Asymptotics for generalized estimating equations with large cluster sizes. Annals Stat. 31:13–22.