Estimating coefficients of two-phase linear regression model with autocorrelated errors

From the frequentist's standpoint, here is presented an iterative algorithm for estimating the unknown parameters of two-phase linear regression model with autocorrelated errors. The case in which a change point is unknown is considered. Applications of two-phase linear regression model are mentioned. Also, a numerical example using the sediment settling data is employed to illustrate the proposed algorithm.