Below you will find example sentences with "probability distribution". The examples show how this phrase is used in natural context and which words often surround it.

Probability Distribution in a sentence

Corpus data

  • Displayed example sentences: 20
  • Discovered as a combination around: distribution
  • Corpus frequency in the collocation scan: 14
  • Phrase length: 2 words
  • Average sentence length: 26.6 words

Sentence profile

  • Phrase position: 11 start, 8 middle, 1 end
  • Sentence types: 20 statements, 0 questions, 0 exclamations

Corpus analysis

  • The phrase "probability distribution" has 2 words and usually appears near the start in these examples. The average sentence has 26.6 words and is mostly made up of statements.
  • Around this phrase, patterns and context words such as a conditional probability distribution considered as, a discrete probability distribution whose sample, function, mean and gives stand out.
  • In the phrase index, this combination connects with electricity distribution, normal distribution, exponential distribution, electricity distribution, normal distribution and exponential distribution, linking the page to nearby combinations.

Example types with probability distribution

This selection groups the examples by length and sentence type, making usage of the full phrase easier to scan:

Related concepts Probability distribution Any probability distribution defines a probability measure. (11 words)

Not every probability distribution has a defined mean; see the Cauchy distribution for an example. (15 words)

In a discrete probability distribution whose sample space is finite, each elementary event is assigned a particular probability. (18 words)

Distance skewness is always between 0 and 1, equals 0 if and only if X is diagonally symmetric (X and −X have the same probability distribution) and equals 1 if and only if X is a nonzero constant with probability one. (41 words)

Gaussianity refers to the probability distribution with respect to the value, in this context the probability of the signal falling within any particular range of amplitudes, while the term 'white' refers to the way the signal power is distributed (i. (40 words)

Moment of inertia seeAlso The variance of a probability distribution is analogous to the moment of inertia in classical mechanics of a corresponding mass distribution along a line, with respect to rotation about its center of mass. (37 words)

Example sentences (20)

The distribution The Boltzmann distribution is a probability distribution that gives the probability of a certain state as a function of that state’s energy and temperature of the system to which the distribution is applied.

Related concepts Probability distribution Any probability distribution defines a probability measure.

Mean of a probability distribution main The mean of a probability distribution is the long-run arithmetic average value of a random variable having that distribution.

Thus the set of Huffman codes for a given probability distribution is a non-empty subset of the codes minimizing for that probability distribution.

Distance skewness is always between 0 and 1, equals 0 if and only if X is diagonally symmetric (X and −X have the same probability distribution) and equals 1 if and only if X is a nonzero constant with probability one.

Entropy only takes into account the probability of observing a specific event, so the information it encapsulates is information about the underlying probability distribution, not the meaning of the events themselves.

Gaussianity refers to the probability distribution with respect to the value, in this context the probability of the signal falling within any particular range of amplitudes, while the term 'white' refers to the way the signal power is distributed (i.

In a discrete probability distribution whose sample space is finite, each elementary event is assigned a particular probability.

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Instead, it makes a prediction using a probability distribution ; that is, it describes the probability of obtaining the possible outcomes from measuring an observable.

Probability distribution Every random vector gives rise to a probability measure on with the Borel algebra as the underlying sigma-algebra.

A particle speed probability distribution indicates which speeds are more likely: a particle will have a speed selected randomly from the distribution, and is more likely to be within one range of speeds than another.

Bayesian statistics provides a theoretical framework for incorporating such subjectivity into a rigorous analysis: we specify a prior probability distribution (which can be subjective), and then update this distribution based on empirical data.

Further, the central limit theorem shows that the probability distribution of the averaged measurements will be closer to a normal distribution than that of individual measurements.

Metropolis algorithm (symmetric proposal distribution) Let f(x) be a function that is proportional to the desired probability distribution P(x) (a.

Moment of inertia seeAlso The variance of a probability distribution is analogous to the moment of inertia in classical mechanics of a corresponding mass distribution along a line, with respect to rotation about its center of mass.

Not every probability distribution has a defined mean; see the Cauchy distribution for an example.

Probability distribution of rolls A test published in White Dwarf magazine concluded that the frequency distribution of the Zocchihedron was substantially uneven.

The price probability distribution exists in a theoretical world, and the rare events suggested by the approach may never be realized.

A confidence analysis made this way is statistically valid as long as the output probability distribution stays the same and the network is not modified.

A likelihood function arises from a conditional probability distribution considered as a function of its distributional parameterization argument, conditioned on the data argument.

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