Examples of 'distributions can' in a sentence
Meaning of "distributions can"
distributions can: Refers to the variety or range of distributions that are possible
How to use "distributions can" in a sentence
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distributions can
The point distributions can be seen here.
Several modes possessing these particular field distributions can be used.
Most distributions can be defined up to four moments.
Many instances of binomial distributions can be found in real life.
Distributions can also be browsed by author.
Donations and distributions can be anonymous.
Distributions can be from defined benefit or defined contribution plans.
The different types of distributions can be combined in a number of fashions.
Distributions can be directed in an unequal manner among potential beneficiaries.
It is noted that volumetric particle size distributions can be measured by laser diffractometry.
Normal distributions can be used in business decision making.
Compositions exhibiting markedly bimodal nodule size distributions can even be obtained.
Food and cash distributions can be conditional or unconditional.
Mutual information calculated from undersampled probability distributions can be biased upwards.
Many familiar distributions can be written as oscillatory integrals.
See also
It may not be the case that all Linux distributions can support those.
Fund distributions can be made by check or by investing in additional shares.
Another flaw is that very different income distributions can result in identical Gini coefficients.
Distributions can be made to the designated beneficiaries of the trust.
Periodic payments and partial distributions can be started and stopped as the annuitant desires.
However, for other parameters of dc and nm other distributions can be used.
All probability distributions can be written in this form.
However, conflating the categorical and multinomial distributions can lead to problems.
Discrete distributions can only take a discrete number of values.
The previous example of a mixture of two Gaussian distributions can demonstrate how the method works.
Statistical distributions can be characterized by their variance and kurtosis.
Optionally, higher molecular weight distributions can be tailored.
Both distributions can be compact.
With greater numbers, more complex distributions can be envisaged.
Building block distributions can thus be determined by the technique.
However, other cable and optical fiber distributions can be envisaged.
These distributions can be modeled by the negative binomial distribution.
Using either of the seeding processes, bimodal particle distributions can be obtained.
Cosmopolitan distributions can be observed both in extinct and extant species.
Furthermore, literature review examines how simulated distributions can be deployed to value creation.
These distributions can also be examined using automated processing means.
By imposing certain constraints on the parameter vectors, the following distributions can be easily derived.
These distributions can be paid out in cash or reinvested in the fund.
Using a least squares methodology, the constants for each of these distributions can be estimated.
Less uniform distributions can also result in a satisfactory speckle suppression.
By controlling the hydrolysis-condensation reactions, particles with very uniform size distributions can be precipitated.
Particle size distributions can be measured using the sedigraph method.
While the framework is Windows, many Linux distributions can be run on it.
The following distributions can not be categorized under the preceding sections.
If many gamma rays are present in a spectrum, Compton distributions can present analysis challenges.
Discrete probability distributions can be used to approximate continuous ones and vice versa.
In 362, one or more flight conditions and airplane weight distributions can be specified.
New light distributions can also be obtained as mathematical combinations of elementary light distributions.
For example, the probability distributions can be Gaussian distributions.
These distributions can either be taken as cash or reinvested back into the fund.
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Distributions and additional investments in the funds
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Distributions received from the underlying funds
