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Journal of the American Statistical Association Volume 85, 1990 - Issue 410
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Applications and Case Studies

Sliding-Spans Diagnostics for Seasonal and Related Adjustments

David F. Findley Statistical Research Division, U.S. Bureau of the Census, Washington, DC, 20233
,
Brian C. Monsell Statistical Research Division, U.S. Bureau of the Census, Washington, DC, 20233
,
Holly B. Shulman Centers for Disease Control, Atlanta, GA, 30333
&
Marian G. Pugh Department of Biostatistics, Harvard University School of Public Health, Boston, MA, 02115
Pages 345-355 | Received 01 Oct 1988, Published online: 28 Feb 2012

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DavidF. Findley, BrianC. Monsell, WilliamR. Bell, MarkC. Otto & Bor-Chung Chen. (1998) New Capabilities and Methods of the X-12-ARIMA Seasonal-Adjustment Program. Journal of Business & Economic Statistics 16:2, pages 127-152.
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Articles from other publishers (10)

Yingfu Xie. (2023) Automatizing model selection in an annual review of seasonal adjustment: A machine learning-inspired approach. Statistical Journal of the IAOS 39:2, pages 513-521.
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Petra Koucká Knížová, Jan Laštovička, Daniel Kouba, Zbyšek Mošna, Katerina Podolská, Katerina Potužníková, Tereza Šindelářová, Jaroslav Chum & Jan Rusz. (2021) Ionosphere Influenced From Lower-Lying Atmospheric Regions. Frontiers in Astronomy and Space Sciences 8.
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Carlos A. Medel. (2018) A Comparison Between Direct and Indirect Seasonal Adjustment of the Chilean GDP 1986–2009 with X-12-ARIMA. Journal of Business Cycle Research 14:1, pages 47-87.
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Kyuho Shim & Gunseog Kang. (2016) New seasonal moving average filters for X-13-ARIMA. Korean Journal of Applied Statistics 29:1, pages 231-242.
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Estela Bee Dagum & Silvia BianconciniEstela Bee Dagum & Silvia Bianconcini. 2016. Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation. Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation 79 114 .
Geung-Hee Lee & Hyeyoung Lee. (2014) A Comparison Study of Seasonal Adjusted Series using the X-13ARIMA-SEATS. Korean Journal of Applied Statistics 27:1, pages 133-146.
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Kejia Hu, Alex Sim, Demetris Antoniades & Constantine Dovrolis. 2013. Machine Learning and Data Mining in Pattern Recognition. Machine Learning and Data Mining in Pattern Recognition 601 615 .
S. Pezzulli, D. B. Stephenson & A. Hannachi. (2005) The Variability of Seasonality. Journal of Climate 18:1, pages 71-88.
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P. Battipaglia. (1996) A comparison of indicators for evaluating x-11-arima seasonal adjustment. Journal of the Italian Statistical Society 5:2, pages 179-202.
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Andrew G. Bruce & Simon R. Jurke. (1996) Non-Gaussian seasonal adjustment: X-12-ARIMA versus robust structural models. Journal of Forecasting 15:4, pages 305-327.
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