trestructure sentences - cosmo - front and backend for Markov-Chain Monte Carlo inversion of cosmogenic nuclide concentrations
 (HTM) git clone git://src.adamsgaard.dk/cosmo
 (DIR) Log
 (DIR) Files
 (DIR) Refs
 (DIR) README
 (DIR) LICENSE
       ---
 (DIR) commit 1d8bf4c603bb8c5c9084c8c7e3c82d0f6fe5a87d
 (DIR) parent 92b401241f5faf7348a8517d6bd5d82bad18500e
 (HTM) Author: Anders Damsgaard <anders.damsgaard@geo.au.dk>
       Date:   Fri, 27 Nov 2015 16:32:22 +0100
       
       restructure sentences
       
       Diffstat:
         M pages/methods.html                  |      11 +++++------
       
       1 file changed, 5 insertions(+), 6 deletions(-)
       ---
 (DIR) diff --git a/pages/methods.html b/pages/methods.html
       t@@ -54,18 +54,17 @@
                                Markov-Chain Monte Carlo (MCMC) basics</h3>
                            <p>The inversion problem of turning observed TCN
                            concentrations into erosion histories is handled using a
       -                    conventional Metropolis-Hastings MCMC approach where the
       +                    conventional Metropolis-Hastings MCMC approach. The
                            model parameters are constrained between fixed model
                            parameter bounds specified by the user. Erosion rates
                            (&epsilon;<sub>int</sub>, &epsilon;<sub>gla</sub>), which
       -                    may vary over several orders of magnitude, are specified
       +                    may vary over several orders of magnitude, are tested
                            with uniform probability across the logarithmic parameter
                            interval. The temporal parameter (<i>t</i><sub>degla</sub>)
                            and climate record threshold value
       -                    (&delta;<sup>18</sup>O<sub>threshold</sub>) is specified
       -                    with uniform probability across the linear
       -                    parameter interval. The user specifies the bounds
       -                    of the model parameters.
       +                    (&delta;<sup>18</sup>O<sub>threshold</sub>) is tested with
       +                    uniform probability across the linear parameter interval.
       +                    The user specifies the bounds of the model parameters.
                            </p>
        
                            <p>When model parameters