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  2. Parametric statistics - Wikipedia

    en.wikipedia.org/wiki/Parametric_statistics

    Parametric statistics is a branch of statistics which leverages models based on a fixed (finite) set of parameters. [1] Conversely nonparametric statistics does not assume explicit (finite-parametric) mathematical forms for distributions when modeling data. However, it may make some assumptions about that distribution, such as continuity or ...

  3. Parametric equation - Wikipedia

    en.wikipedia.org/wiki/Parametric_equation

    In the case of a single parameter, parametric equations are commonly used to express the trajectory of a moving point, in which case, the parameter if often, but not necessarily, time, and the point describes a curve, called a parametric curve. In the case of two parameters, the point describes a surface, called a parametric surface.

  4. Parametric model - Wikipedia

    en.wikipedia.org/wiki/Parametric_model

    Parametric models are contrasted with the semi-parametric, semi-nonparametric, and non-parametric models, all of which consist of an infinite set of "parameters" for description. The distinction between these four classes is as follows: [citation needed] in a "parametric" model all the parameters are in finite-dimensional parameter spaces;

  5. Parametric - Wikipedia

    en.wikipedia.org/wiki/Parametric

    Parametric model, a family of distributions that can be described using a finite number of parameters; Parametric oscillator, a harmonic oscillator whose parameters oscillate in time; Parametric surface, a particular type of surface in the Euclidean space R 3; Parametric family, a family of objects whose definitions depend on a set of parameters

  6. Sensitivity analysis - Wikipedia

    en.wikipedia.org/wiki/Sensitivity_analysis

    Sensitivity analysis is the study of how the ... This is also known as method of elementary effects because it combines repeated steps along the various parametric ...

  7. Uncertainty quantification - Wikipedia

    en.wikipedia.org/wiki/Uncertainty_quantification

    Uncertainty propagation is the quantification of uncertainties in system output(s) propagated from uncertain inputs. It focuses on the influence on the outputs from the parametric variability listed in the sources of uncertainty. The targets of uncertainty propagation analysis can be:

  8. Parametric design - Wikipedia

    en.wikipedia.org/wiki/Parametric_design

    Parametric design is a design method in ... By integrating data and analysis into the design process, parametric urbanism allows for more informed and adaptive ...

  9. Parametric programming - Wikipedia

    en.wikipedia.org/wiki/Parametric_programming

    Parametric programming is a type of mathematical optimization, where the optimization problem is solved as a function of one or multiple parameters. [1] Developed in parallel to sensitivity analysis , its earliest mention can be found in a thesis from 1952. [ 2 ]