# Probability distribution/Related Articles

Jump to navigation
Jump to search

*See also changes related to Probability distribution, or pages that link to Probability distribution or to this page or whose text contains "Probability distribution".*

## Parent topics

- Mathematics [r]: The study of quantities, structures, their relations, and changes thereof.
^{[e]} - Probability theory [r]: Mathematical theory of randomness.
^{[e]}

## Subtopics

- Normal distribution [r]: a symmetrical bell-shaped probability distribution representing the frequency of random variations of a quantity from its mean.
^{[e]} - Markov distribution [r]:
*Add brief definition or description* - Poisson distribution [r]: a probability distribution that is typically used to model the number of independent events (occurring at a constant average rate) that fall within a stated interval.
^{[e]} - Rayleigh distribution [r]:
*Add brief definition or description* - Rice distribution [r]:
*Add brief definition or description*

- Characteristic function [r]: A function on a set which takes the value 1 on a given subset and 0 on its complement.
^{[e]} - Conditioning (probability) [r]: Conditional probabilities, conditional expectations and conditional distributions are treated on three levels.
^{[e]} - Continuous probability distribution [r]: Probability distribution where variables can take on arbitrary values in a continuum.
^{[e]} - Discrete probability distribution [r]: Class of probability distributions in which the values that might be observed are restricted to being within a pre-defined list of possible values.
^{[e]} - Entropy of a probability distribution [r]: A number that describes the degree of uncertainty or disorder the distribution represents.
^{[e]} - Financial economics [r]: the economics of investment choices made by individuals and corporations, and their consequences for the economy, .
^{[e]} - Measurable function [r]: Function on a measurable space to a measurable space such that the inverse image of a measurable set is a measurable set.
^{[e]} - Measure theory [r]: Generalization of the concepts of length, area, and volume, to arbitrary sets of points not composed of line segments or rectangles.
^{[e]} - Power law [r]: A mathematical relationship between two quantities where one is proportional to a power of the other: that is, of the form where and are constants, with being referred to as the exponent.
^{[e]} - Quantum mechanics [r]: An important branch of physics dealing with the behavior of matter and energy at very small scales.
^{[e]} - Sigma algebra [r]: A formal mathematical structure intended among other things to provide a rigid basis for measure theory and axiomatic probability theory.
^{[e]} - Statistics theory [r]: A branch of mathematics that specializes in enumeration, or counted, data and their relation to measured data.
^{[e]} - Stochastic convergence [r]: A mathematical concept intended to formalize the idea that a sequence of essentially random or unpredictable events sometimes is expected to settle into a pattern.
^{[e]} - Stochastic process [r]: Family of random variables, dependent upon a parameter which usually denotes time.
^{[e]}

- Discrete probability distribution [r]: Class of probability distributions in which the values that might be observed are restricted to being within a pre-defined list of possible values.
^{[e]} - Grammar (linguistics) [r]: The structural rules that govern the composition of sentences, phrases, and words in any language; alternatively, the system of language itself, i.e. the principles common to all languages.
^{[e]} - Diffraction [r]:
*Add brief definition or description* - Wisconsin v. Yoder [r]:
*Add brief definition or description*