论文信息 - Autocorrelation estimation of time series with randomly missing observations

Autocorrelation estimation of time series with randomly missing observations

SUMMARY Estimation of the autocorrelations of a time series is considered when some observations are missing. Missing observations are assumed to occur at random. Estimators are proposed and approximate formulae are derived for their covariance and bias. Some particular cases are discussed.

R. J. Marshall

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