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Volumn 132, Issue 15, 2010, Pages

Constructing smooth potentials of mean force, radial distribution functions, and probability densities from sampled data

Author keywords

[No Author keywords available]

Indexed keywords

A-DENSITY; ANALYTICAL ESTIMATES; ANALYTICAL FIT; BIN SIZE; DIFFUSING PARTICLES; FIRST ARRIVAL; FITTING PROCEDURE; FOURIER MODES; HARRIS METHOD; JACOBIANS; LONG TAIL; NONUNIFORM; PHYSICAL PARAMETERS; PIECE-WISE; POTENTIALS OF MEAN FORCES; PROBABILITY DENSITIES; RADIAL DISTRIBUTION FUNCTIONS; RESAMPLING SCHEME; SAMPLED DATA; STANDARD METHOD; WATER MODELS;

EID: 77951695581     PISSN: 00219606     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.3366523     Document Type: Article
Times cited : (22)

References (31)
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    • Another good explanation of the sensitivity of the KS test to values near the median can be found in Ref., Ch. 4, Sec..
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    • One could imagine performing the reweighting at the level of KS test instead, but this would modify the q statistic. The problem is that it would then not be known what a reasonable testing criterion for this new q statistic should be, or even whether it allows a simple formulation such as q> qcut.
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    • This is the Laplace inverse of Eq. (6.4.8) in Ref..
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    • This analysis was also attempted for the deviations plotted in Fig. but the error bars on the resulting distributions were too large to tell whether they are biased or non-Gaussian.


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