ARMDE {AutoregressionMDE} | R Documentation |
Performs minimum distance estimation in autoregressive model
Description
Performs minimum distance estimation in autoregressive model
Usage
ARMDE(X, AR_Order)
Arguments
X |
: vector of n observed value |
AR_Order |
: oder of the autoregressive model |
Value
returns minimum distance estimators of the parameter in the autoregressive model
References
[1] Koul, H. L (1985). Minimum distance estimation in linear regression with unknown error distributions. Statist. Probab. Lett., 3 1-8.
[2] Koul, H. L (1986). Minimum distance estimation and goodness-of-fit tests in first-order autoregression. Ann. Statist., 14 1194-1213.
[3] Koul, H. L (2002). Weighted empirical process in nonlinear dynamic models. Springer, Berlin, Vol. 166
See Also
LRMDE
Examples
X <- rnorm(10, mean=0, sd=1)
AR_Order <- 2
rhohat<-ARMDE(X,AR_Order)
[Package AutoregressionMDE version 1.0 Index]