Measuring the Permanent Component of a Series for Serially Correlated Observations
序列相关观测下序列永久成分的测量
Alternative systems of negative binomial and binomial weights are proposed for measuring the permanent component of a series as a weighted average of the observed series. If the observed series is generated by a stable first-order autoregressive process it is shown that there are alternative sets of weights using either weighting scheme for which the permanent and transitory components are uncorrelated.