Bernoulli distribution and Z-channel (information theory)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Bernoulli distribution and Z-channel (information theory)

Bernoulli distribution vs. Z-channel (information theory)

In probability theory and statistics, the Bernoulli distribution, named after Swiss mathematician Jacob Bernoulli, is the discrete probability distribution of a random variable which takes the value 1 with probability p and the value 0 with probability q. In coding theory and information theory, a Z-channel or binary asymmetric channel is a communications channel used to model the behaviour of some data storage systems.

Similarities between Bernoulli distribution and Z-channel (information theory)

Bernoulli distribution and Z-channel (information theory) have 2 things in common (in Unionpedia): Binary entropy function, Random variable.

Binary entropy function

In information theory, the binary entropy function, denoted \operatorname H(p) or \operatorname H_\text(p), is defined as the entropy of a Bernoulli process (i.i.d. binary variable) with probability p of one of two values, and is given by the formula: The base of the logarithm corresponds to the choice of units of information; base corresponds to nats and is mathematically convenient, while base 2 (binary logarithm) corresponds to shannons and is conventional (as shown in the graph); explicitly: Note that the values at 0 and 1 are given by the limit \textstyle 0 \log 0.

Bernoulli distribution and Binary entropy function · Binary entropy function and Z-channel (information theory) · See more »

Random variable

A random variable (also called random quantity, aleatory variable, or stochastic variable) is a mathematical formalization of a quantity or object which depends on random events.

Bernoulli distribution and Random variable · Random variable and Z-channel (information theory) · See more »

The list above answers the following questions

What Bernoulli distribution and Z-channel (information theory) have in common
What are the similarities between Bernoulli distribution and Z-channel (information theory)

Bernoulli distribution and Z-channel (information theory) Comparison

Bernoulli distribution has 40 relations, while Z-channel (information theory) has 10. As they have in common 2, the Jaccard index is 4.00% = 2 / (40 + 10).

References

This article shows the relationship between Bernoulli distribution and Z-channel (information theory). To access each article from which the information was extracted, please visit:

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