Institute of Information Theory and Automation

Bibliography

David Kraus


    Journal articles

    1. Kraus David: Adaptive Neyman's smooth tests of homegeneity of two samples of survival data , Journal of Statistical Planning and Inference vol.139, 10 (2009), p. 3559-3569 (2009) Download
    2. Kraus David: Checking proportional rates in the two-sample transformation model , Kybernetika vol.45, 2 (2009), p. 261-278 (2009) Download
    3. Kraus David: Identifying nonproportional covariates in the Cox model , Communications in Statistics - Theory and Methods vol.37, 4 (2008), p. 617-625 (2008)
    4. Kraus David: Data-driven smooth tests of the proportional hazards assumption , Lifetime Data Analysis vol.13, 1 (2007), p. 1-16 (2007)

    Other publications

    1. Kraus David: Adaptive Neyman's smooth tests of homogeneity of two samples of survival data, ÚTIA AV ČR, (Praha 2007) Research Report 2187 (2007)
    2. Kraus David: Checking proportional rates in the two-sample transformation model, ÚTIA AV ČR, (Praha 2007) Research Report 2203 (2007)
    3. Kraus David: Smooth tests of equality of cumulative incidence functions in two samples, ÚTIA AV ČR, (Praha 2007) Research Report 2197 (2007)
    4. Kraus David: Generalized linear models for marked point processes , Proceedings of the International Conference on Statistical Methods for Biomedical and Technical Systems. BIOSTAT 2006, p. 353-358, BIOSTAT 2006. Statistical Methods for Biomedical and Technical Systems, (Limassol, CY, 29.05.2006-01.06.2006) (2006)
    5. Kraus David: Identifying nonproportional covariates in the Cox model, ÚTIA AV ČR, (Praha 2006) Research Report 2170 (2006)
    6. Kraus David: Zobecněné lineární modely pro značkované bodové procesy , Sborník ROBUST 2006, p. 181-188 , Eds: Antoch J., Dohnal G., ROBUST 2006, (Lhota pod Rohanovem, CZ, 23.01.2006-27.01.2006) (2006)
    7. Kraus David: Data-driven smooth tests of the proportional hazards assumption, ÚTIA AVČR, (Praha 2005) Research Report 2134 (2005)
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    Last modification: 03.09.2008
    Institute of Information Theory and Automation