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  2. Matching (statistics) - Wikipedia

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

    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). The goal of matching is to reduce bias for the estimated treatment effect in an observational-data ...

  3. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    v. t. e. Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called ...

  4. Pattern matching - Wikipedia

    en.wikipedia.org/wiki/Pattern_matching

    Pattern matching. In computer science, pattern matching is the act of checking a given sequence of tokens for the presence of the constituents of some pattern. In contrast to pattern recognition, the match usually has to be exact: "either it will or will not be a match." The patterns generally have the form of either sequences or tree structures.

  5. Multiple-criteria decision analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple-criteria_decision...

    In this example a company should prefer product B's risk and payoffs under realistic risk preference coefficients. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).

  6. Potentially all pairwise rankings of all possible alternatives

    en.wikipedia.org/wiki/Potentially_all_pairwise...

    Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) is a method for multi-criteria decision making (MCDM) or conjoint analysis, [1][2][3] as implemented by decision-making software and conjoint analysis products 1000minds and MeenyMo. [4][5][6] The PAPRIKA method is based on users expressing their preferences with respect ...

  7. Weighted sum model - Wikipedia

    en.wikipedia.org/wiki/Weighted_Sum_Model

    Weighted sum model. In decision theory, the weighted sum model (WSM), [1][2] also called weighted linear combination (WLC) [3] or simple additive weighting (SAW), [4] is the best known and simplest multi-criteria decision analysis (MCDA) / multi-criteria decision making method for evaluating a number of alternatives in terms of a number of ...

  8. Index-matching material - Wikipedia

    en.wikipedia.org/wiki/Index-matching_material

    Index-matching material. In optics, an index-matching material is a substance, usually a liquid, cement (adhesive), or gel, which has an index of refraction that closely approximates that of another object (such as a lens, material, fiber-optic, etc.). When two substances with the same index are in contact, light passes from one to the other ...

  9. Research Domain Criteria - Wikipedia

    en.wikipedia.org/wiki/Research_Domain_Criteria

    The Research Domain Criteria (RDoC) project is an initiative of personalized medicine in psychiatry developed by US National Institute of Mental Health (NIMH). In contrast to the Diagnostic and Statistical Manual of Mental Disorders (DSM) maintained by the American Psychiatric Association (APA), RDoC aims to address the heterogeneity in the current nosology by providing a biologically-based ...