| 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]