Search Results - "Cator, E. A."

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  1. 1

    A novel approach to detect test-seeking behaviour in the blood donor population: making the invisible visible by de Vos, A. S., Lieshout-Krikke, R. W., Slot, E., Cator, E. A., Janssen, M. P.

    Published in Vox sanguinis (01-10-2016)
    “…Background and Objectives Individuals may donate blood in order to determine their infection status after exposure to an increased infection risk. Such…”
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  2. 2

    Monitoring viral incidence rates: tools for the implementation of European Union regulations by Janssen, M. P., Cator, E. A., Van Der Poel, C. L., Schaasberg, W. P., Bonsel, G. J., Van Hout, B. A.

    Published in Vox sanguinis (01-05-2009)
    “…Background and Objectives  European legislation requires manufacturers of plasma products to report epidemiological data on human immunodeficiency virus,…”
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  3. 3

    Local maxima of two dependent Brownian Motions never coincide by Cator, E. A

    Published 11-07-2012
    “…We consider two dependent Brownian motions with (possibly) different drift, and apply a result by le Gall on cone points of two dimensional Brownian motion to…”
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  4. 4
  5. 5

    On the Testability of the Car Assumption by Cator, Eric A.

    Published in The Annals of statistics (01-10-2004)
    “…In recent years a popular nonparametric model for coarsened data is an assumption on the coarsening mechanism called coarsening at random (CAR). It has been…”
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  6. 6

    A shape theorem and semi-infinite geodesics for the Hammersley model with random weights by Cator, E. A, Pimentel, L. P. R

    Published 26-01-2010
    “…ALEA, Lat. Am. J. Probab. Math. Stat. 8, 163--175 (2011) In this paper we will prove a shape theorem for the last passage percolation model on a two…”
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  7. 7

    Asymptotic expansion of the minimum covariance determinant estimators by Cator, E. A, Lopuhaä, H. P

    Published 26-08-2009
    “…In arXiv:0907.0079 by Cator and Lopuhaa, an asymptotic expansion for the MCD estimators is established in a very general framework. This expansion requires the…”
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  8. 8

    Deconvolution with arbitrarily smooth kernels by Cator, Eric A.

    Published in Statistics & probability letters (15-09-2001)
    “…We consider estimation of the density in a deconvolution model, with a smooth convoluting kernel k. For general smooth k we determine the rate and the limiting…”
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