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Bobbitt, Larry; Otto, Mark – 1990
Three Autoregressive Integrated Moving Averages (ARIMA) forecast procedures for Census Bureau X-11 concurrent seasonal adjustment were empirically tested. Forty time series from three Census Bureau economic divisions (business, construction, and industry) were analyzed. Forecasts were obtained from fitted seasonal ARIMA models augmented with…
Descriptors: Analysis of Variance, Census Figures, Equations (Mathematics), Estimation (Mathematics)
Peer reviewedFreedman, David A.; And Others – Evaluation Review, 1993
Techniques for adjusting census figures are discussed, with a focus on sampling error, uncertainty of estimates resulting from the luck of sample choice. Computer simulations illustrate the ways in which the smoothing algorithm may make adjustments less, rather than more, accurate. (SLD)
Descriptors: Algorithms, Census Figures, Computer Simulation, Error of Measurement
Peer reviewedJarjoura, David; And Others – Evaluation and Program Planning, 1993
A synthetic method of estimating relative annual prevalence of severely mentally disabled (SMD) adults across Ohio's mental health board areas was evaluated. Indirect evidence of accuracy for the method, which relies on local catchment area data and local census data, is provided by comparison with actual SMD adult counts in federal programs. (SLD)
Descriptors: Adults, Census Figures, Demography, Equations (Mathematics)
