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Forecasting compositional time series

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  • Terence Mills

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Abstract

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Suggested Citation

  • Terence Mills, 2010. "Forecasting compositional time series," Quality & Quantity: International Journal of Methodology, Springer, vol. 44(4), pages 673-690, June.
  • Handle: RePEc:spr:qualqt:v:44:y:2010:i:4:p:673-690
    DOI: 10.1007/s11135-009-9229-8
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    References listed on IDEAS

    as
    1. Jane Fry & Tim Fry & Keith McLaren, 2000. "Compositional data analysis and zeros in micro data," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 953-959.
    2. David M. Cutler & Edward L. Glaeser & Jesse M. Shapiro, 2003. "Why Have Americans Become More Obese?," Journal of Economic Perspectives, American Economic Association, vol. 17(3), pages 93-118, Summer.
    3. Terence C. Mills, 2009. "Forecasting obesity trends in England," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(1), pages 107-117.
    4. Sara Bleich & David Cutler & Christopher Murray & Alyce Adams, 2007. "Why Is The Developed World Obese?," NBER Working Papers 12954, National Bureau of Economic Research, Inc.
    5. repec:cup:apsrev:v:93:y:1999:i:01:p:15-32_21 is not listed on IDEAS
    6. Katz, Jonathan N. & King, Gary, 1999. "A Statistical Model for Multiparty Electoral Data," American Political Science Review, Cambridge University Press, vol. 93(01), pages 15-32, March.
    7. Zagorsky, Jay L., 2005. "Health and wealth: The late-20th century obesity epidemic in the U.S," Economics & Human Biology, Elsevier, vol. 3(2), pages 296-313, July.
    8. Jane Fry & Tim Fry & Keith McLaren & Tanya Smith, 2001. "Modelling zeroes in microdata," Applied Economics, Taylor & Francis Journals, vol. 33(3), pages 383-392.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Peter Dawson & Paul Downward & Terence C. Mills, 2014. "Olympic news and attitudes towards the Olympics: a compositional time-series analysis of how sentiment is affected by events," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(6), pages 1307-1314, June.
    2. Snyder, Ralph D. & Ord, J. Keith & Koehler, Anne B. & McLaren, Keith R. & Beaumont, Adrian N., 2017. "Forecasting compositional time series: A state space approach," International Journal of Forecasting, Elsevier, vol. 33(2), pages 502-512.
    3. repec:eee:csdana:v:121:y:2018:i:c:p:164-179 is not listed on IDEAS
    4. repec:eee:jmvana:v:158:y:2017:i:c:p:31-46 is not listed on IDEAS

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