Explore: *parametric Analysis

models are infinite-dimensional, rather than finite dimensional, as in parametric statistics. Nonparametric statistics can be used for descriptive statistics

modeling, assembly modelling, 2D orthographic views, finite element analysis, parametric modelling, sub-divisional and non-uniform rational B-spline (NURBS)

In mathematics, a parametric equation expresses several quantities, such as the coordinates of a point, as functions of one or several variables called

Parametric insurance (also called index-based insurance) is a non-traditional insurance product that offers pre-specified payouts based upon a trigger

Parametric design is a design method in which features, such as building elements and engineering components, are shaped based on algorithmic processes

unit-treatment additivity. If the response variable is expected to follow a parametric family of probability distributions, then the statistician may specify

completely constructed using information derived from the data. That is, no parametric equation is assumed for the relationship between predictors and dependent

Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data

flexible class of parametric models. Non-parametric: The assumptions made about the process generating the data are much less than in parametric statistics and

predictions between a cost objective and its resultant costs. Parametric estimating (also called parametric formulas) is a mathematical representation of cost relationships