Monte-Carlo simulation of inert gas elimination data

Monte-Carlo simulation allows a theoretical evaluation of the Va/Q distributions recovered from inert gas elimination data. However, when the underlying distribution is narrow, or when significant experimental error is present in the data, Monte-Carlo simulation becomes computationally impossible. An algorithm is presented which avoids these limitations by directly producing randomly distributed data points lying within the column space of the defining inert gas model.<
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