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. Language: English