  Given two sets of functional data having a common underlying mean function
but different degrees of distortion in time measurements, we provide a method
of estimating the time transformation necessary to align (or `register') them.
We prove that the proposed method is consistent under fairly general
conditions. Simulation results show superiority of the performance of the
proposed method over two existing methods. The proposed method is illustrated
through the analysis of three paleoclimatic data sets.
