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    CSDA
    2010
    98views more  CSDA 2010»
    Design-based estimation for geometric quantiles with application to outlier detection
    13 years 9 months ago
    Design-based estimation for geometric quantiles with application to outlier detection
    Download  math.u-bourgogne.fr
    Geometric quantiles are investigated using data collected from a complex survey. Geometric quantiles are an extension of univariate quantiles in a multivariate set-up that uses th...
    Mohamed Chaouch, Camelia Goga
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    CSDA
    2008
    89views more  CSDA 2008»
    Projection density estimation under a m-sample semiparametric model
    13 years 9 months ago
    Projection density estimation under a m-sample semiparametric model
    Download  samuela.leoni.aubin.free.fr
    An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
    Jean-Baptiste Aubin, Samuela Leoni-Aubin
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    AUTOMATICA
    2006
    98views more  AUTOMATICA 2006»
    Stabilization of sampled-data nonlinear systems via backstepping on their Euler approximate model
    13 years 9 months ago
    Stabilization of sampled-data nonlinear systems via backstepping on their Euler approximate model
    Download  people.eng.unimelb.edu.au
    Two integrator backstepping designs are presented for digitally controlled continuous-time plants in special form. The controller designs are based on the Euler approximate discre...
    Dragan Nesic, Andrew R. Teel
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    IANDC
    2006
    117views more  IANDC 2006»
    Statistical probabilistic model checking with a focus on time-bounded properties
    13 years 9 months ago
    Statistical probabilistic model checking with a focus on time-bounded properties
    Download  www.cs.cmu.edu
    Probabilistic verification of continuous-time stochastic processes has received increasing attention in the model-checking community in the past five years, with a clear focus on ...
    Håkan L. S. Younes, Reid G. Simmons
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    CSDA
    2007
    108views more  CSDA 2007»
    Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
    13 years 9 months ago
    Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
    Download  bmsr.usc.edu
    Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
    Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
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