Software is available for using both parametric and nonparametric kernel methods. Nonlinear effects fall into two qualitatively different categories, parametric and non-parametric effects. Computer packages for using parametric and nonparametric kernel methods are available online. Logarithms are used for maximum-likelihood estimation of parametric statistical models. The following is a simple example of parametric empirical Bayes estimation. These constraints contained all the essential properties of parametric equations. Parametric oscillators are used in many applications. Document.xml file has all geometric and parametric objects definitions. Integrated audio tools include compression/expansion, limiting, gating and parametric EQ. These problems can be addressed by rewriting the non-parametric equations in parametric form. Templates in C++ provide a sophisticated mechanism for writing generic, polymorphic code (i.e. parametric polymorphism). Posterior probability is inferred from the parametric model. Ruby features dynamic typing, and supports parametric polymorphism. Let formula 3 be a parametric smooth curve.