Sentence examples for a full distribution from inspiring English sources

Then there will be a full distribution of preferences, as required under the Commonwealth Electoral Act to also confirm the seat margin.

"There will be a full distribution of preferences, which is a fresh count in any case," AEC spokesman Phil Diak said.

In a 2012 paper Yuriy Kitsul of the Federal Reserve and Mr Wright use these data to derive a full distribution of options-implied inflation expectations.

Blackstone's chief operating officer, Hamilton E. James, said in a conference call that the company should be able to make a full distribution of $1.20 a share this year.

Tragus says: "Both credit card tips and service charge paid are subject to a 10 per cent deduction for administrative and other house costs, prior to a full distribution to employees in the restaurant through the company's payroll system.

Strada says: "Both credit card tips and service charge paid are subject to a 10 per cent deduction for administrative and other house costs, prior to a full distribution to employees in the restaurant through the company's payroll system".

The analysis, based on surveys by the Federal Reserve and the Census Bureau, found that nearly three-quarters of those who took a premature full distribution from a retirement account did so because of "everyday basic financial management problems, from trouble paying bills to general expenses that they feel like they cannot keep up with".

A MMNL, however, allows for consideration of the full distribution of a parameter estimate with each individual having an associated parameter estimate on that specified distribution.

In a second step, the full distribution function is reconstructed from its moments.

Using this approach, and a very careful implementation, one can compute the full distribution with a complexity O(L3 × log2 ℓ × nmax log2 nmax) where nmax is the maximum number of pattern occurrences in the sequence, which is better than Algorithm 3.

From the numerical experiment conducted, this simple technique is found to be quite accurate, and it is less restrictive in its usage for merely requiring the information of the first four statistical moments of a random variable rather than requiring a stronger assumption of the full distribution information in the Rosenblatt transformation.