Results 121 to 130 of about 10,341 (237)
Inequality and deprivation within and between groups: An illustration of European union countries
Between-groups deprivation, Decomposition of the Gini coefficient, ECHP, Within-group deprivation, I13, O15,
Elena Bárcena-Martín +2 more
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Tomography scan of an insect head for testing reconstruction packages
, 2018 <p>Test data collected on the I13-2 beamline at Diamond Light Source. Thanks to the beamline team for collecting the data.</p ...
Wanelik, Kaz (8277939) +3 more
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A Bayesian Analysis of Unobserved Component Models Using Ox
Journal of Statistical Software, 2011 This article details a Bayesian analysis of the Nile river flow data, using a similar state space model as other articles in this volume. For this data set, Metropolis-Hastings and Gibbs sampling algorithms are implemented in the programming language Ox.
Charles S. Bos
doaj
New flow regimes generated by mode coupling in buoyant-thermocapillary convection
, 2009 En ligne: http://prl.aps.org/abstract/PRL/v102/i13/e134503info:eu-repo/semantics ...
Nepomny Ashchy, Alexander +2 more
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tmle : An R Package for Targeted Maximum Likelihood Estimation
Journal of Statistical Software, 2012 Targeted maximum likelihood estimation (TMLE) is a general approach for constructing an efficient double-robust semi-parametric substitution estimator of a causal effect parameter or statistical association measure. tmle is a recently developed R package
Susan Gruber, Mark J. van der Laan
doaj
FIAR: An R Package for Analyzing Functional Integration in the Brain
Journal of Statistical Software, 2011 Functional integration in the brain refers to distributed interactions among functionally segregated regions. Investigation of effective connectivity in brain networks, i.e, the directed causal influence that one brain region exerts over another region ...
Yves Rosseel, Bjorn Roelstraete
doaj
ipw: An R Package for Inverse Probability Weighting
Journal of Statistical Software, 2011 We describe the R package ipw for estimating inverse probability weights. We show how to use the package to fit marginal structural models through inverse probability weighting, to estimate causal effects.
Ronald B. Geskus, Willem M. van der Wal
doaj
Understanding capital markets. Vol.1. A flow-of-funds financial model.
I13
Hendershott, Patrie H.
core