In mathematics and its applications, a parametric family or a parameterized family is a family of objects (a set of related objects) whose differences depend only on the chosen values for a set of parameters.[1]

Common examples are parametrized (families of) functions, probability distributions, curves, shapes, etc.[citation needed]

## In probability and its applications

 Main article: Statistical model

For example, the probability density function fX of a random variable X may depend on a parameter θ. In that case, the function may be denoted ${\displaystyle f_{X}(\cdot \,;\theta )}$ to indicate the dependence on the parameter θ. θ is not a formal argument of the function as it is considered to be fixed. However, each different value of the parameter gives a different probability density function. Then the parametric family of densities is the set of functions ${\displaystyle \{f_{X}(\cdot \,;\theta )\mid \theta \in \Theta \))$, where Θ denotes the parameter space, the set of all possible values that the parameter θ can take. As an example, the normal distribution is a family of similarly-shaped distributions parametrized by their mean and their variance.[2][3]

In decision theory, two-moment decision models can be applied when the decision-maker is faced with random variables drawn from a location-scale family of probability distributions.[citation needed]

## In algebra and its applications

In economics, the Cobb–Douglas production function is a family of production functions parametrized by the elasticities of output with respect to the various factors of production.[citation needed]

In algebra, the quadratic equation, for example, is actually a family of equations parametrized by the coefficients of the variable and of its square and by the constant term.[citation needed]