Estimates a transform function model. This program does not allow rational transfer function model. It is a special case of tfm1 and tfm2.
tfm(y, x, b = 0, s = 1, p = 0, q = 0)
Data vector of dependent (output) variable
Data vector of independent variable
deadtime or delay
The order of the transfer function polynomial
AR order of the disturbance
MA order of the disturbance
Coefficient estimates of the transfer function
Standard errors of the transfer function coefficients
Coefficient estimates of ARMA models
Standard errors of ARMA coefficients
The disturbance series
The residual series
The model entertained is y_t = c_0+ v(B)x_t + n_t. v(B) = 1- v1*B - ... - vs*B^s, and n_t is an ARMA(p,q) process.
Box, G. E. P., Jenkins, G. M., and Reinsel, G. C. (1994). Time Series Analysis: Forecasting and Control, 3rd edition, Prentice Hall, Englewood Cliffs, NJ.