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A model (or, source receptor relationship) that relates the source distribution to the concentration data is formulated, and Bayesian probability theory is used to derive the posterior probability density function of the source parameters.
The proposed division method considers each subdomain as a cluster which has the definite ratio of positive to negative samples, linear discriminability and conditional distribution similarity to the source domain.
A bell-like-shaped spatial distribution corresponding to the source time function (Fig. 4) is assumed as initial conditions.
Given the consistency of these observations, we suggest that this phenomenon is likely due to distribution of the source population rather than regional differences in disease prevalence.
The domain adaptation process attempts to alter a source domain in an attempt to bring the distribution of the source closer to that of the target.
The distribution of selected subjects in each stratum was proportional to their distribution in the source population (adult population of 18 to 69 years residents in Luxembourg).
The distribution of selected subjects in each region is proportional to their distribution in the source population (adult population of 18 to 69 years residents in the Greater region).
The user specifies a file containing the spectral energy distribution of the source to be simulated and then selects a model for the spatial distribution of the source, which can be a FITS image.
The distribution of selected subjects in each stratum was proportional to their distribution in the source population.
To study the ORISCAV-LUX sample representativeness, the sample distributions were compared to the source population distributions according to the stratification criteria (sex, age and district of residence) by classical chi-squared tests.
The E and H field distributions closer to the sources will be obtained using numerical simulations.
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