Environmetrics, 1099-095X

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  1. 2019
  2. 2012
  3. Velocities of a spatial-temporal stochastic field with embedded dynamics

    Krzysztof Podgorski & Wegener, J., 2012, In : Environmetrics. 23, 3, p. 238-252

    Research output: Contribution to journalArticle

  4. 2009
  5. Spatio-temporal statistical modelling of significant wave height

    Baxevani, A., Caires, S. & Rychlik, I., 2009, In : Environmetrics. 20, 1, p. 14-31

    Research output: Contribution to journalArticle

  6. 2008
  7. A real-time assimilation algorithm applied to near-surface ocean wind fields

    Malmberg, A., Holst, J. & Ulla Holst, 2008, In : Environmetrics. 19, 3, p. 319-330

    Research output: Contribution to journalArticle

  8. Distribution of the maximum in air pollution fields

    Åberg, S. & Guttorp, P., 2008, In : Environmetrics. 19, 2, p. 183-208

    Research output: Contribution to journalArticle

  9. 2005
  10. Analysis of lidar fields using local polynomial regression

    Lindström, T., Ulla Holst & Weibring, P., 2005, In : Environmetrics. 16, 6, p. 619-634

    Research output: Contribution to journalArticle

  11. An image warping approach to spatio-temporal modelling

    Åberg, S., Lindgren, F., Malmberg, A., Holst, J. & Ulla Holst, 2005, In : Environmetrics. 16, 8, p. 833-848

    Research output: Contribution to journalArticle

  12. 2004
  13. Parsimonious modelling, testing and forecasting of long-range dependence in wind speed

    Hussain, S., Elbergali, A., Almasri, A. & Shukur, G., 2004, In : Environmetrics. 15, 2, p. 155-171

    Research output: Contribution to journalArticle

  14. 1996
  15. Locally weighted least squares kernel regression and statistical evaluation of LIDAR measurements

    Ulla Holst, Hössjer, O., Björklund, C., Ragnarson, P. & Edner, H., 1996, In : Environmetrics. 7, 4, p. 401-416

    Research output: Contribution to journalArticle