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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)

Copyright © 1981-2005 by Gerald N. Hill and Kathleen T. Hill. All Right reserved.


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.
Collins Dictionary of Law © W.J. Stewart, 2006

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.

A Law Dictionary, Adapted to the Constitution and Laws of the United States. By John Bouvier. Published 1856.
References in periodicals archive ?
where J = [[integral].sup.1.sub.0] [G.sup.-1](t; [xi])(1 + [lambda] - 2[lambda]t)[[(1 + [lambda])t - [lambda][t.sup.2]].sup.r+j-1] dt can be evaluated numerically for most parent distributions using statistical software.
If the two-stage transformation is used for data from a gaussian parent distribution, the sample size needed for a PIP of 0.95 increases to ~10, again double the sample size of 85 needed for Linnet's ratio to equal 0.2 (see above).
When no parameters need to be estimated, either because the data are drawn from a gaussian parent or because the parent distribution is known exactly, a sample of 100 observations gives a value of PIP for the estimated 97.5th percentile between the true 95th and 99th percentiles of 0.95.
The statistical distribution of [S.sub.3] for any given mating environment (parent distribution) is developed here, and appropriate simplifications can be made for one-fruit and two-fruit models.
In statistical terms, we have measurements from an unperturbed parent distribution with biased sampling.

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