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  2. Multilevel model - Wikipedia

    en.wikipedia.org/wiki/Multilevel_model

    When computing a t-test, it is important to keep in mind the degrees of freedom, which will depend on the level of the predictor (e.g., level 1 predictor or level 2 predictor). [5] For a level 1 predictor, the degrees of freedom are based on the number of level 1 predictors, the number of groups and the number of individual observations.

  3. Analytic network process - Wikipedia

    en.wikipedia.org/wiki/Analytic_network_process

    The analytic network process (ANP) is a more general form of the analytic hierarchy process (AHP) used in multi-criteria decision analysis. AHP structures a decision problem into a hierarchy with a goal, decision criteria, and alternatives, while the ANP structures it as a network.

  4. Statistical classification - Wikipedia

    en.wikipedia.org/wiki/Statistical_classification

    Since no single form of classification is appropriate for all data sets, a large toolkit of classification algorithms has been developed. The most commonly used include: [ 9 ] Artificial neural networks – Computational model used in machine learning, based on connected, hierarchical functions Pages displaying short descriptions of redirect ...

  5. Analytic hierarchy process - Wikipedia

    en.wikipedia.org/wiki/Analytic_hierarchy_process

    Think of the hierarchy that medical students use while learning anatomy—they separately consider the musculoskeletal system (including parts and subparts like the hand and its constituent muscles and bones), the circulatory system (and its many levels and branches), the nervous system (and its numerous components and subsystems), etc., until ...

  6. Ordinal priority approach - Wikipedia

    en.wikipedia.org/wiki/Ordinal_priority_approach

    The OPA model is a linear programming model, which can be solved using a simplex algorithm.The steps of this method are as follows: [11] Step 1: Identifying the experts and determining the preference of experts based on their working experience, educational qualification, etc.

  7. Annuity vs 401(k): Which Vehicle Is Actually Better for Your ...

    www.aol.com/annuity-vs-401-k-vehicle-202514980.html

    Lastly, 401(k) growth is hard to predict as it is solely based on the stock market's volatility. Your accounts will rise and fall in the short term with hopeful long-term growth. Long-Term ...

  8. Performance prediction - Wikipedia

    en.wikipedia.org/wiki/Performance_prediction

    Classic profile-based prediction worked well for early single-issue, in-order execution processors, but fails to accurately predict the performance of modern processors. The major reason is that modern processors can issue and execute several instructions at the same time, sometimes out of the original order and cross the boundary of basic blocks.

  9. Attribute hierarchy method - Wikipedia

    en.wikipedia.org/wiki/Attribute_hierarchy_method

    The following hierarchy is an example of a cognitive model task performance for the knowledge and skills in the areas of ratio, factoring, function, and substitution (called the Ratios and Algebra hierarchy). [9] This hierarchy is divergent and composed of nine attributes which are described below.