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Results for Missing data

Publications & Outputs

  1. Infilling missing data in hydrology: Solutions using satellite radar altimetry and multiple imputation for data-sparse regions

    Ekeu-Wei, I. T., Blackburn, G. A. & Pedruco, P., 20/10/2018, In : Water (Switzerland). 10, 10, 22 p., 1483.

    Research output: Contribution to journalJournal article

  2. Analysis of Non-Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements

    Guillaumin, A. P., Sykulski, A. M., Olhede, S. C., Early, J. J. & Lilly, J. M., 09/2017, In : Journal of Time Series Analysis. 38, 5, p. 668-710 43 p.

    Research output: Contribution to journalJournal article

  3. A comparison of two methods of estimating propensity scores after multiple imputation

    Mitra, R. & Reiter, J. P., 1/02/2016, In : Statistical Methods in Medical Research. 25, 1, p. 188-204 17 p.

    Research output: Contribution to journalJournal article

  4. Markov models of dependence in longitudinal paired comparisons: an application to course design

    Grand, A., Dittrich, R. & Francis, B., 04/2015, In : AStA Advances in Statistical Analysis. 99, 2, p. 237-257 21 p.

    Research output: Contribution to journalJournal article

  5. Model-based imputation of missing data from the 122 Cities Mortality Reporting System (122 CMRS)

    Moraga, P. & Ozonoff, A., 2013, In : Stochastic Environmental Research and Risk Assessment. 29, 5, p. 1499-1507 9 p.

    Research output: Contribution to journalJournal article

  6. Spectral estimation for locally stationary time series with missing observations

    Knight, M. A., Nunes, M. & Nason, G. P., 07/2012, In : Statistics and Computing. 22, 4, p. 877-895 19 p.

    Research output: Contribution to journalJournal article