Roy.Fuller {BootPR} | R Documentation |
Roy-Fuller median-unbiased estimation
Description
This function returns parameter estimates and forecasts based on Roy-Fuller medin-unbiased estimator for AR models
Usage
Roy.Fuller(x, p, h, type)
Arguments
x |
a time series data set |
p |
AR order |
h |
the number of forecast period |
type |
"const" for the AR model with intercept only, "const+trend" for the AR model with intercept and trend |
Value
coef |
Roy-Fuller parameter estimates |
resid |
residuals |
forecast |
point forecasts from Roy-Fuller parameter estimates |
Author(s)
Jae H. Kim
References
Kim, J.H., 2003, Forecasting Autoregressive Time Series with Bias-Corrected Parameter Estimators, International Journal of Forecasting, 19, 493-502.
Roy, A., & Fuller, W. A. (2001). Estimation for autoregressive time series with a root near one. Journal of Business & Economic Statistics, 19(4), 482-493.
Examples
data(IPdata)
Roy.Fuller(IPdata,p=6,h=10,type="const+trend")
[Package BootPR version 1.0 Index]