Time Series Analysis of Irregularly Observed Data: Proceedings of a Symposium held at Texas A & M Un

On the estimation of ARIMA Models with missing values.- Statistical inference for irregularly observed processes.- Large sample properties of estimation in time series observed at unequally spaced times.- Time series regression with periodically correlated errors and missing data.- Missing observations in dynamic econometric models: a partial synthesis.- A Hilbert transform method for estimating distributed lag models with randomly missed or distorted observations.- Fitting multivariate models to unequally spaced data.- State space modeling of nonstationary time series and smoothing of unequally spaced data.- Direct quadratic spectrum estimation with irregularly spaced data.- Spectral and probability density estimation from irregularly observed data.- A strategy to complete a time series with missing observations.- Multiple time series analysis or irregularly spaced data.- Some applications of the EM algorithm to analyzing incomplete time series data.- Some aspects of continuous-discrete time series modelling.- Inferring the attainment of national ambient air quality standards using missing value time series techniques.- The complementary model in continuous/discrete smoothing.