# density function

Also found in: Financial, Encyclopedia, Wikipedia.
Related to density function: Probability density function

## density function

n
(Statistics) statistics short for probability density function
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014
References in periodicals archive ?
The nonlinear elastic function can be derived from strain energy density function [33-35].
In this paper we will discuss the probability density function of [[tau].sub.r.sup.([??])], for which we write [p.sub.r.sup.([??])] (.; x) in the case when d [greater than or equal to] 2.
The contributors use zeta functions to factor polynomials over finite fields, determine the canonical models of arithmetic curves, obtain an expression for the probability density function of the distribution of the trace function on Lie group G, and compute the weight enumerators of Reed-Muller codes.
3.2.a Definition: Neutrosophic exponential distribution  is defined as a generalization of classical exponential distribution, Neutrosophic exponential distribution can deals with all the data even non-specific, we express the density function as:
Ideally, the solution to data uncertainty is establishing corresponding probability density function by collected data and putting it into LCA.
The probability density function of the correlated log-normal especially is carried out to propose various approximations of the sum distribution.
The probability density function of data X(t)(x [member of] [R.sup.d]) is assumed to be p(x), which is a mixture of H Gaussian components.
where n([upsilon],t) is the number density function of the particles with volume from [upsilon] to [upsilon] + d[upsilon] at time t and [beta]([[upsilon].sub.1], [upsilon]) is the collision frequency function between particles with volume [upsilon] and [[upsilon].sub.1].
Using the transformed-transformer method proposed by , an extension of the odd Frechet family of distributions called the extended odd Frechet-G (EOF-G) family of distributions is developed by integrating the Frechet probability density function (PDF).
For x > 0, its cumulative density function (cdf) and probability density function (pdf) are given by Equation 1 and 2:

Site: Follow: Share:
Open / Close