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An angular–linear time series model for waveheight prediction

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  • Tsukasa Hokimoto
  • Kunio Shimizu

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Suggested Citation

  • Tsukasa Hokimoto & Kunio Shimizu, 2008. "An angular–linear time series model for waveheight prediction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 60(4), pages 781-800, December.
    • Handle: RePEc:spr:aistmt:v:60:y:2008:i:4:p:781-800
    DOI: 10.1007/s10463-008-0207-z
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    References listed on IDEAS

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    1. Rainer Dahlhaus & Liudas Giraitis, 1998. "On the Optimal Segment Length for Parameter Estimates for Locally Stationary Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(6), pages 629-655, November.
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    Cited by:

    1. Tsukasa Hokimoto & Kunio Shimizu, 2014. "A non-homogeneous hidden Markov model for predicting the distribution of sea surface elevation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(2), pages 294-319, February.
    2. Arthur Pewsey & Eduardo García-Portugués, 2021. "Recent advances in directional statistics," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(1), pages 1-58, March.

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