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系统科学与数学 2007
TIME SERIES ANALYSIS FOR RIGHT CENSORED DATA
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Abstract:
When stationary time series {Xn} is censored by another stationary time series {Yn}, estimation of covariance and correlation coefficients of {Xn} is studied in this paper. When {Xn} is AR(p) process, parameter estimation and one-step prediction are given and shown to be strongly consistent. Simulation results show that the method works well.