Benini distribution - Distribution

The Benini distribution is a three parameter distribution, which has cumulative distribution function (cdf) :where, shape parameters α, β > 0, and σ > 0 is a scale parameter. For parsimony Benini considered only the two parameter model (with α = 0), with cdf :

Exponential-logarithmic distribution - Distribution

The probability density function (pdf) of the EL distribution is given by Tahmasbi and Rezaei (2008)

Exponential-logarithmic distribution - Distribution

The cumulative distribution function is given by :and hence, the median is given by :.

Exponential-logarithmic distribution - Distribution

This function is strictly decreasing in x and tends to zero as. The EL distribution has its modal value of the density at x=0, given by :The EL reduces to the exponential distribution with rate parameter \beta, as.

Binomial distribution - Bernoulli distribution

The Bernoulli distribution is a special case of the binomial distribution, where n = 1. Symbolically, X ~ B(1, p) has the same meaning as X ~ Bernoulli(p). Conversely, any binomial distribution, B(n, p), is the distribution of the sum of n Bernoulli trials, Bernoulli(p), each with the same probability p.

Elliptical distribution - Spherical distribution

An elliptical distribution with a zero mean and variance in the form \alpha I where I is the identity-matrix is called a spherical distribution. For spherical distributions, classical results on parameter-estimation and hypothesis-testing hold have been extended. Similar results hold for linear models, and indeed also for complicated models ( especially for the growth curve model). The analysis of multivariate models uses multilinear algebra (particularly Kronecker products and vectorization) and matrix calculus.

Distribution (marketing) - Distribution strategies

Prior to designing a distribution system, the planner needs to determine what the distribution channel is to achieve in broad terms. The overall approach to distributing products or services depends on a number of factors including the type of product, especially perishability; the market served; the geographic scope of operations and the firm's overall mission and vision. The process of setting out a broad statement of the aims and objectives of a distribution channel is a strategic level decision.

Distribution center - Distribution jobs

A distribution center typically has a general manager who manages the facility and typically has a number of department managers who report directly to him/her. Most distribution centers divide staff into two categories, direct labor and indirect labor. Direct labor staff execute the distribution processes, while indirect labor staff support the direct labor staff. Each department is in turn composed of supervisors and warehouse workers. The direct labor jobs of a warehouse can include:

Disjunct distribution - Lusitanian distribution

This kind of disjunct distribution of a species, such that it occurs in Iberia and in Ireland, without any intermediate localities, is usually called "Lusitanian" (named after the Roman Province Lusitania, corresponding to modern day Portugal).

Boltzmann distribution - The distribution

The Boltzmann distribution is related to the softmax function commonly used in machine learning.

Symphonic Distribution - Video Distribution

In July 2014, Symphonic launched Video Distribution services. In 2018, Symphonic partnered with Vevo, allowing artists to create and upload music videos on the platform. Symphonic additionally operates Indigo Jones, an iTunes/Apple approved encoding house that services clients such as Mad Decent and Ditto Music.

Boltzmann distribution - The distribution

where N i is the number of particles in state i and N is the total number of particles in the system. We may use the Boltzmann distribution to find this probability that is, as we have seen, equal to the fraction of particles that are in state i. So the equation that gives the fraction of particles in state i as a function of the energy of that state is

Boltzmann distribution - The distribution

The Boltzmann distribution is a probability distribution that gives the probability of a certain state as a function of that state's energy and temperature of the system to which the distribution is applied. It is given as

Inverse distribution - Reciprocal distribution

where means "is proportional to". It follows that the inverse distribution in this case is of the form :which is again a reciprocal distribution.

Stable distribution - The distribution

When α = 2, the distribution is Gaussian (see below), with tails asymptotic to exp(−x 2 /4c 2 )/(2c√π).

Binomial distribution - Beta distribution

Beta distributions also provide a family of prior probability distributions for binomial distributions in Bayesian inference: :Given a uniform prior, the posterior distribution for the probability of success p given n independent events with k observed successes is a beta distribution.

Distribution (marketing) - Distribution strategies

Summary of strategic approaches to distribution

Somos Distribution - Distribution/Content

Somos Distribution represents the following companies: MTV Networks Latin America Inc., Outsider Pictures, People Guiding Media, Kanal D, Campanario Entertainment S.L., Expressive Media Projects S.L., Corporacio Catalana de Mitjans Audioviduals, S.a - TV3 Catalunya, CCTV-China International TV Corporations.

Soliton distribution - Robust distribution

The robust form of distribution is defined by adding an extra set of values to the elements of mass function of the ideal soliton distribution and then standardising so that the values add up to 1. The extra set of values, t, are defined in terms of an additional real-valued parameter δ (which is interpreted as a failure probability) and an integer parameter M (M < N). Define R as R=N/M. Then the values added to p(i), before the final standardisation, are :While the ideal soliton distribution has a mode (or spike) at 2, the effect of the extra component in the robust distribution is to add an additional spike at the value M.

Dirichlet distribution - Gamma distribution

With a source of Gamma-distributed random variates, one can easily sample a random vector from the K-dimensional Dirichlet distribution with parameters. First, draw K independent random samples from Gamma distributions each with density