论文信息 - Bootstrapping ARMA Models: Some Simulations

Bootstrapping ARMA Models: Some Simulations

The bootstrap is used to demonstrate the feasibility of obtaining estimates of standard errors of the parameter estimates of ARMA models. The method is applied to simulated data and to two published data sets, and the success of the bootstrap is evaluated. The simulations show the bootstrap to be an effective tool for estimating standard errors for parameter estimates in time series models. The bootstrap estimates of the standard errors are distribution free and valid for small samples.

Sangit Chatterjee

[1] D. Freedman. Bootstrapping Regression Models , 1981 .

[2] Sangit Chatterjee,et al. Estimation of misclassification probabilities by bootstrap methods , 1983 .

[3] B. Efron. Bootstrap Methods: Another Look at the Jackknife , 1979 .

[4] D. Freedman,et al. Bootstrapping a Regression Equation: Some Empirical Results , 1984 .

[5] D. Freedman,et al. Bootstrapping an Econometric Model: Some Empirical Results , 1984 .

[6] Henry L. Gray,et al. A New Approach to ARMA Modeling. , 1978 .

[7] B. Efron,et al. A Leisurely Look at the Bootstrap, the Jackknife, and , 1983 .

[8] Bradley Efron,et al. Censored Data and the Bootstrap , 1981 .

[9] K. Singh,et al. On the Asymptotic Accuracy of Efron's Bootstrap , 1981 .

[10] S. Chatterjee,et al. Use of the Bootstrap and Cross-validation in Ridge Regression , 1986 .