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  2. Ventilation/perfusion ratio - Wikipedia

    en.wikipedia.org/wiki/Ventilation/perfusion_ratio

    This matching may be assessed in the lung as a whole, or in individual or in sub-groups of gas-exchanging units in the lung. On the other side Ventilation-perfusion mismatch is the term used when the ventilation and the perfusion of a gas exchanging unit are not matched. The actual values in the lung vary depending on the position within the lung.

  3. Vector quantization - Wikipedia

    en.wikipedia.org/wiki/Vector_quantization

    Vector quantization (VQ) is a classical quantization technique from signal processing that allows the modeling of probability density functions by the distribution of prototype vectors. Developed in the early 1980s by Robert M. Gray , it was originally used for data compression .

  4. Matching (statistics) - Wikipedia

    en.wikipedia.org/wiki/Matching_(statistics)

    Matching is a statistical technique that evaluates the effect of a treatment by comparing the treated and the non-treated units in an observational study or quasi-experiment (i.e. when the treatment is not randomly assigned).

  5. Coverage error - Wikipedia

    en.wikipedia.org/wiki/Coverage_error

    All colored circles are included in the target population. Green and Orange colored circles are included in the sample frame. Green colored circles are a randomly generated sample from the sample frame. The sample frame includes overcoverage because John and Jack are the same person, but he is included more than once in the sample frame.

  6. Propensity score matching - Wikipedia

    en.wikipedia.org/wiki/Propensity_score_matching

    Radius matching: all matches within a particular radius are used -- and reused between treatment units. Kernel matching: same as radius matching, except control observations are weighted as a function of the distance between the treatment observation's propensity score and control match propensity score. One example is the Epanechnikov kernel.

  7. Random sample consensus - Wikipedia

    en.wikipedia.org/wiki/Random_sample_consensus

    A simple example is fitting a line in two dimensions to a set of observations. Assuming that this set contains both inliers, i.e., points which approximately can be fitted to a line, and outliers, points which cannot be fitted to this line, a simple least squares method for line fitting will generally produce a line with a bad fit to the data including inliers and outliers.

  8. Eightfold path (policy analysis) - Wikipedia

    en.wikipedia.org/wiki/Eightfold_Path_(policy...

    The eightfold path is a method of policy analysis assembled by Eugene Bardach, a professor at the Goldman School of Public Policy at the University of California, Berkeley. [1] It is outlined in his book A Practical Guide for Policy Analysis: The Eightfold Path to More Effective Problem Solving, which is now in its seventh edition. [2]

  9. Regulatory impact analysis - Wikipedia

    en.wikipedia.org/wiki/Regulatory_Impact_Analysis

    Policy proposals must also quantify the regulatory burden on individuals, businesses, and community organisations under the viable options. Following announcement of a decision, the impact analysis used to support Government decision-making is published online, as is OIA's assessment of the quality of that analysis and the processes undertaken ...

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