Probability distribution/Related Articles

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• 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]
• Eventology [r]: A nonstandard term for the study of events from a mathematical, cultural or business perspective. ^[e]
• Financial economics [r]: the economics of investment choices made by individuals and corporations, and their consequences for the economy, . ^[e]
• Journal impact factor [r]: A widely used annual measure of how often the papers recently published in an academic journal have been cited in the academic literature. ^[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]
• Normal distribution [r]: a symmetrical bell-shaped probability distribution representing the frequency of random variations of a quantity from its mean. ^[e]
• 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]
• Power law [r]: A mathematical relationship between two quantities where one is proportional to a power of the other: that is, of the form $y(x)=ax^{k}\!$ where $a$ and $k$ are constants, with $k$ 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]