IDEAS home Printed from https://ideas.repec.org/h/nbr/nberch/4326.html
   My bibliography  Save this book chapter

SABL: A Resistant Seasonal Adjustment Procedure With Graphical Methods for Interpretation and Diagnosis

In: Seasonal Analysis of Economic Time Series

Author

Listed:
  • William S. Cleveland
  • Douglas M. Dunn
  • Irma J. Terpenning

Abstract

No abstract is available for this item.

Suggested Citation

  • William S. Cleveland & Douglas M. Dunn & Irma J. Terpenning, 1978. "SABL: A Resistant Seasonal Adjustment Procedure With Graphical Methods for Interpretation and Diagnosis," NBER Chapters, in: Seasonal Analysis of Economic Time Series, pages 201-241, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:4326
    as

    Download full text from publisher

    File URL: http://www.nber.org/chapters/c4326.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Pagan, Adrian R, 1975. "A Note on the Extraction of Components from Time Series," Econometrica, Econometric Society, vol. 43(1), pages 163-168, January.
    2. Grether, D M & Nerlove, M, 1970. "Some Properties of 'Optimal' Seasonal Adjustment," Econometrica, Econometric Society, vol. 38(5), pages 682-703, September.
    3. Howard E. Thompson & George C. Tiao, 1971. "Analysis of Telephone Data: A Case Study of Forecasting Seasonal Time Series," Bell Journal of Economics, The RAND Corporation, vol. 2(2), pages 515-541, Autumn.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Proietti, Tommaso & Riani, Marco, 2007. "Transformations and Seasonal Adjustment: Analytic Solutions and Case Studies," MPRA Paper 7862, University Library of Munich, Germany.
    2. Cree S. Dawson & Charles J. McCallum & R. Bradford Murphy & Eric Wolman, 2000. "Operations Research at Bell Laboratories through the 1970s: Part III," Operations Research, INFORMS, vol. 48(4), pages 517-526, August.
    3. Seyma Gozuyilmaz & O. Erhun Kundakcioglu, 2021. "Mathematical optimization for time series decomposition," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(3), pages 733-758, September.
    4. Trull, Oscar & García-Díaz, J. Carlos & Peiró-Signes, A., 2022. "Multiple seasonal STL decomposition with discrete-interval moving seasonalities," Applied Mathematics and Computation, Elsevier, vol. 433(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. William S. Cleveland & Douglas M. Dunn & Irma J. Terpenning, 1979. "SABL: A Resistant Seasonal Adjustment Procedure with Graphical Methods for Interpretation and Diagnosis," NBER Chapters, in: Seasonal Analysis of Economic Time Series, pages 201-241, National Bureau of Economic Research, Inc.
    2. Jerry A. Hausman & Mark W. Watson, 1983. "Seasonal Adjustment with Measurement Error Present," NBER Working Papers 1133, National Bureau of Economic Research, Inc.
    3. Iñaki Bildosola & Pilar Gonzalez & Paz Moral, 2017. "An approach for modelling and forecasting research activity related to an emerging technology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 557-572, July.
    4. Neil R. Ericsson & David F. Hendry & Hong-Anh Tran, 1993. "Cointegration, seasonality, encompassing, and the demand for money in the United Kingdom," International Finance Discussion Papers 457, Board of Governors of the Federal Reserve System (U.S.).
    5. Theresa Maria Rausch & Tobias Albrecht & Daniel Baier, 2022. "Beyond the beaten paths of forecasting call center arrivals: on the use of dynamic harmonic regression with predictor variables," Journal of Business Economics, Springer, vol. 92(4), pages 675-706, May.
    6. Erich Spörndli, 1979. "Konjunkturdiagnose und -prognose in der Schweiz: Die Verwendung quantitativer Indikatoren," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 115(III), pages 323-350, September.
    7. Ghysels, Eric & Granger, Clive W J & Siklos, Pierre L, 1996. "Is Seasonal Adjustment a Linear or Nonlinear Data-Filtering Process?," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 374-386, July.
    8. Travis D. Nesmith, 2007. "Rational Seasonality," International Symposia in Economic Theory and Econometrics, in: Functional Structure Inference, pages 227-255, Emerald Group Publishing Limited.
    9. Thomas F. Cooley & Barr Rosenberg & Kent D. Wall, 1977. "A Note on Optimal Smoothing for Time Varying Coefficient Problems," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 6, number 4, pages 453-456, National Bureau of Economic Research, Inc.
    10. Christophe Planas & Alessandro Rossi & Gabriele Fiorentini, 2008. "The marginal likelihood of Structural Time Series Models, with application to the euro area and US NAIRU," Working Paper series 21_08, Rimini Centre for Economic Analysis.
    11. McElroy, Tucker S. & Politis, Dimitris N., 2014. "Spectral density and spectral distribution inference for long memory time series via fixed-b asymptotics," Journal of Econometrics, Elsevier, vol. 182(1), pages 211-225.
    12. Gonçalo Faria & Fabio Verona, 2021. "Time-frequency forecast of the equity premium," Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
    13. Heiler, Siegfried, 1991. "Überlegungen zum Vergleich von Verfahren der Komponentenzerlegung saisonabhängiger Zeitreihen," Discussion Papers, Series II 141, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    14. Irma Hindrayanto & Jan Jacobs & Denise Osborn, 2014. "On trend-cycle-seasonal interactions," DNB Working Papers 417, Netherlands Central Bank, Research Department.
    15. Adlai Fisher & Laurent Calvet & Benoit Mandelbrot, 1997. "Multifractality of Deutschemark/US Dollar Exchange Rates," Cowles Foundation Discussion Papers 1166, Cowles Foundation for Research in Economics, Yale University.
    16. Andrea BASTIANIN & Marzio GALEOTTI & Matteo MANERA, 2011. "Forecast evaluation in call centers: combined forecasts, flexible loss functions and economic criteria," Departmental Working Papers 2011-08, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    17. Yuliya Lovcha & Alejandro Perez-Laborda & Luis Gil-Alana, 2018. "On the invertibility of seasonally adjusted series," Computational Statistics, Springer, vol. 33(1), pages 443-465, March.
    18. Campos, Julia, 1991. "A Brief Look on the Literature on Deseasonalization," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 11(2), November.
    19. Diebold, F.X. & Kilian, L. & Nerlove, Marc, 2006. "Time Series Analysis," Working Papers 28556, University of Maryland, Department of Agricultural and Resource Economics.
    20. Peter Isard & Barbara R. Lowrey & P. A. V. B. Swamy, 1975. "Theory and estimation of the demand for imports of consumer goods," International Finance Discussion Papers 61, Board of Governors of the Federal Reserve System (U.S.).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberch:4326. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.