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  2. 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 is 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.

  3. Least-squares adjustment - Wikipedia

    en.wikipedia.org/wiki/Least-squares_adjustment

    In parametric adjustment, one can find an observation equation h(X) = Y relating observations Y explicitly in terms of parameters X (leading to the A-model below). In conditional adjustment , there exists a condition equation which is g ( Y ) = 0 involving only observations Y (leading to the B-model below) — with no parameters X at all.

  4. Parametric design - Wikipedia

    en.wikipedia.org/wiki/Parametric_design

    Gaudí's analog method incorporated the main features of a computational parametric model (input parameters, equation, output): The string length, birdshot weight, and anchor point location function as independent input parameters. The vertex locations of the points on the strings serve as the model's outcomes.

  5. Partial least squares path modeling - Wikipedia

    en.wikipedia.org/wiki/Partial_least_squares_path...

    Unlike covariance-based approaches to structural equation modeling, PLS-PM does not fit a common factor model to the data, it rather fits a composite model. [ 6 ] [ 7 ] In doing so, it maximizes the amount of variance explained (though what this means from a statistical point of view is unclear and PLS-PM users do not agree on how this goal ...

  6. Econometric model - Wikipedia

    en.wikipedia.org/wiki/Econometric_model

    In the case in which the elements of this set can be indexed by a finite number of real-valued parameters, the model is called a parametric model; otherwise it is a nonparametric or semiparametric model. A large part of econometrics is the study of methods for selecting models, estimating them, and carrying out inference on them.

  7. Cost estimation models - Wikipedia

    en.wikipedia.org/wiki/Cost_estimation_models

    Cost estimation models are mathematical algorithms or parametric equations used to estimate the costs of a product or project. The results of the models are typically necessary to obtain approval to proceed, and are factored into business plans, budgets, and other financial planning and tracking mechanisms.

  8. Software parametric models - Wikipedia

    en.wikipedia.org/wiki/Software_parametric_models

    A parametric model is a set of related mathematical equations that incorporates variable parameters. A scenario is defined by selecting a value for each parameter. Software project managers use software parametric models and parametric estimation tools to estimate their projects' duration, staffing and cost.

  9. Structural equation modeling - Wikipedia

    en.wikipedia.org/wiki/Structural_equation_modeling

    Structural equation modeling is fraught with controversies. Researchers from the factor analytic tradition commonly attempt to reduce sets of multiple indicators to fewer, more manageable, scales or factor-scores for later use in path-structured models.