Probability distribution/Related Articles: Difference between revisions
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==Parent topics== | ==Parent topics== | ||
{{r|Mathematics}} | |||
{{r|Probability theory}} | |||
==Subtopics== | ==Subtopics== | ||
{{r|Gaussian distribution}} | |||
{{r|Normal distribution}} | |||
{{r|Markov distribution}} | |||
{{r|Poisson distribution}} | |||
{{r|Rayleigh distribution}} | |||
{{r|Rice distribution}} | |||
==Other related topics== | ==Other related topics== | ||
{{r|Characteristic function}} | {{r|Characteristic function}} | ||
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{{r|Discrete probability distribution}} | {{r|Discrete probability distribution}} | ||
{{r|Entropy of a probability distribution}} | {{r|Entropy of a probability distribution}} | ||
{{r|Financial economics}} | {{r|Financial economics}} | ||
{{r|Measurable function}} | {{r|Measurable function}} | ||
{{r|Measure theory}} | {{r|Measure theory}} | ||
{{r|Power law}} | {{r|Power law}} | ||
{{r|Quantum mechanics}} | {{r|Quantum mechanics}} | ||
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{{r|Stochastic convergence}} | {{r|Stochastic convergence}} | ||
{{r|Stochastic process}} | {{r|Stochastic process}} | ||
Revision as of 06:29, 16 April 2010
- 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
- Gaussian distribution [r]: Add brief definition or description
- 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]