Scandinavian Journal of Statistics, ‎1467-9469

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  1. 2019
  2. A stochastic process approach to multilayer neutron detectors

    Dragi Anevski, Richard Hall-Wilton, Kalliopi Kanaki & Vladimir Pastukhov, 2019, In: Scandinavian Journal of Statistics. 46, 2, p. 621-635

    Research output: Contribution to journalArticle

  3. 2014
  4. Poll of polls: A compositional loess model

    Jakob Bergman & Björn Holmquist, 2014, In: Scandinavian Journal of Statistics. 41, 2, p. 301-310

    Research output: Contribution to journalArticle

  5. Sample Path Asymmetries in Non-Gaussian Random Processes

    Anastassia Baxevani, Krzysztof Podgorski & Jörg Wegener, 2014, In: Scandinavian Journal of Statistics. 41, 4, p. 1102-1123

    Research output: Contribution to journalArticle

  6. 2010
  7. Stochastic differential mixed-effects models

    Umberto Picchini, Andrea De Gaetano & Susanne Ditlevsen, 2010, In: Scandinavian Journal of Statistics. 37, 1, p. 67-90

    Research output: Contribution to journalArticle

  8. 2008
  9. On the second order random walk model for irregular locations

    Finn Lindgren & Håvard Rue, 2008, In: Scandinavian Journal of Statistics. 35, 4, p. 691-700

    Research output: Contribution to journalArticle

  10. 2003
  11. Density estimation for the Metropolis-Hastings algorithm

    Martin Sköld & G O Roberts, 2003, In: Scandinavian Journal of Statistics. 30, 4, p. 699-718

    Research output: Contribution to journalArticle

  12. 1988
  13. Recursive M-estimators of location and Scale for Dependent Sequences

    Jan-Eric Englund, Ulla Holst & David Ruppert, 1988, In: Scandinavian Journal of Statistics. 15, 2, p. 147-159

    Research output: Contribution to journalArticle

  14. 1987
  15. Extreme values: theory and technical applications (with discussion)

    Georg Lindgren & Holger Rootzén, 1987, In: Scandinavian Journal of Statistics. 14, 4, p. 241-279

    Research output: Contribution to journalReview article

  16. 1981
  17. 1980
  18. 1978