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  1.  

    The Nature of Statistical Learning Theory

    Vapnik, Vladimir N. | TIBKAT | 1995
  2.  

    Variational Analysis

    Rockafellar, R. Tyrrell | TIBKAT | 1998
  3.  

    Fitting Linear Mixed-Effects Models Using lme4

    Douglas Bates / Martin Mächler / Ben Bolker et al. | DOAJ | 2015
  4.  

    Introduction to meta-analysis

    Borenstein, Michael | TIBKAT | 2009
  5.  

    Iron-Based Layered Superconductor La[O1-xFx]FeAs (x= 0.05−0.12) withTc= 26 K

    Kamihara, Yoichi / Watanabe, Takumi / Hirano, Masahiro et al. | American Chemical Society | 2008
  6.  

    On Information and Sufficiency

    Kullback, S. / Leibler, R. A. | Project Euclid | 1951
  7.  

    Mathematical Methods of Classical Mechanics

    Arnolʹd, V. I. | TIBKAT | 1989
  8.  

    Ramanujan’s Notebooks : Part III

    Berndt, Bruce C. | TIBKAT | 1991
  9.  

    Quantifying heterogeneity in a meta‐analysis

    Higgins, Julian P. T. / Thompson, Simon G. | Wiley | 2002
  10.  

    The CCPN data model for NMR spectroscopy: Development of a software pipeline

    Vranken, Wim F. / Boucher, Wayne / Stevens, Tim J. et al. | Wiley | 2005
  11.  

    The chemistry of graphene oxide

    National licence
    Dreyer, Daniel R. / Park, Sungjin / Bielawski, Christopher W. et al. | Royal Society of Chemistry | 2009
  12.  

    Bayesian measures of model complexity and fit

    Spiegelhalter, David J. / Best, Nicola G. / Carlin, Bradley P. et al. | Wiley | 2002
  13.  

    Introductory Lectures on Convex Optimization : A Basic Course

    Nesterov, Jurij Evgenʹevič | TIBKAT | 2004
  14.  

    Monte Carlo Statistical Methods

    Robert, Christian P. | TIBKAT | 2004

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