# distribution

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Related to binomial distribution: Poisson distribution, normal distribution

## distribution

n. the act of dividing up the assets of an estate or trust, or paying out profits or assets of a corporation or business according to the ownership percentages. (See: distribute)

## distribution

1 the apportioning of the estate of a deceased intestate among the persons entitled to share in it.
2 after a bankruptcy order has been made, the trustee, having gathered in the bankrupt's estate, must distribute the assets available for distribution in accordance with the prescribed order of payment. All debts proved in the bankruptcy in the same category of priority rank PARI PASSU. See also CORPORATION TAX.

DISTRIBUTION. By this term is understood the division of an intestate's estate according to law.
2. The English statute of 22 and 23 Car. II. c. 10, which was itself probably borrowed from the 118th Novel of Justinian, is the foundation of, perhaps, most acts of distribution in the several states. Vide 2 Kent, Com. 342, note; 8 Com. Dig. 522; 11 Vin. Ab. 189, 202; Com. Dig. Administration, H.

References in periodicals archive ?
The negative binomial distribution was used to build a sequential sampling plan using Wald's (1945) SPRT, on the basis of the number of fruits with at least one mite data.
Fact 5 Let X have a binomial distribution. For any [delta] > 0 we have
Parameters R and k of the negative binomial distribution are the reproductive number and dispersion parameter, respectively.
If skill is involved in the performance of mutual funds the distribution of number of successes should differ from a binomial distribution because success in one period increases the probability of success in the next period.
The binomial distribution, which is thoroughly explained below, is expressed by the mathematical equation: (30)
The beta-binomial approximates the binomial distribution if a and b are large (>1).
Negative Binomial Distribution: presents a variance greater than the mean, thereby indicating an aggregated distribution and it also has two parameters: the mean ([??]) and the parameter k (k > 0).
The second method (the calculation of the median confidence interval from the binomial distribution) is based on the positions of the lower limit and the upper limit of the interval from the application of the binomial distribution, given that the number of observations below the percentile k follows this distribution with parameters n and k (Bland, 2003, DeCoster and Burchill, 2000) and the median is the central point of distribution k = .5.
On the basis of the analysis of the binomial distribution, it becomes clear that 181 cases marked the choices very much, much, or moderate.
For this reason, the negative binomial distribution (nbd) was deemed more appropriate than Poisson.
The number of good subballs of radius nK in a ball of radius (n+ 1)K has a binomial distribution Bin([N.sup.K], an) with parameters [N.sup.K] and [a.sub.n].
The three most common statistical distributions are the normal, Poisson and binomial distributions. As an example of a discovered statistical distribution, let's consider the binomial distribution.

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