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AutoregressionMDE

Minimum Distance Estimation in Autoregressive Model

Consider autoregressive model of order p where the distribution function of innovation is unknown, but innovations are independent and symmetrically distributed. The package contains a function named ARMDE which takes X (vector of n observations) and p (order of the model) as input argument and returns minimum distance estimator of the parameters in the model.

Versions across snapshots

VersionRepositoryFileSize
1.0 2026-04-09 windows/windows R-4.5 AutoregressionMDE_1.0.zip 22.4 KiB