Sentence examples for for any distribution from inspiring English sources

Exact(21)

In the general case, valid for any distribution, a numerical approach is necessary.

This relationship can then be extended to target user specified FEA accuracy objectives in a priori mesh adaptation for any distribution of circular holes.

Analytical expressions are determined to inform the vent sizes needed to provide the desired balance between indoor air temperature, ventilation flow rate and heat inputs for any distribution of occupants within the building, and also to ensure unidirectional flow.

Given our convention, there is a one-to-one mapping between the distribution D and the wealth vector w in the sense that for any distribution D there is a given wealth vector w and for any wealth vector w there is a given distribution D. To obtain a set of payoffs with a given distribution D it is only necessary to assign each of the N wealth values in w to one of the N states of the world.

Consumers will always blame the brand for any distribution or retail problems.

For any distribution of neurons in space some activity (u r,t)) depending on time t can be defined.

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Similar(39)

The procedure operates in a message-passing fashion and generates results for any distributions if samples can be produced from, e.g., the marginals.

Even after EGTRRA made distributions for qualified education expenses non-taxable, the distribution aggregation requirements remained for any distributions in excess of the student's qualified higher education expenses.

Mom won't be happy if $1.5 million--the million--the million--thees into a bypass trust that requires her, as some do, to beg a trustee for any distributions.

A function C defined on [0, 1] d is a d-variate copula if C F1 x1), …, F d (x d)) is a joint distribution function for any marginal distribution functions F1 x1), …, F d (x d).

The variance can be estimated using the formula (16) Together with the well-known estimators (Range/4 for a normal distribution, and Range/6 for any random distribution) this formula provides a useful tool for meta-analysts.

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