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Probability density function

In probability theory, a probability density function (PDF), density function, or simply density of an absolutely continuous random variable, is a function whose value at any given point in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a "relative probability" that the value of the random…

Formal definition, Function of random variables and change of variables in the probability density function & Further details

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Overview

Example

Absolutely continuous univariate distributions

Formal definition

Further details

Link between discrete and continuous distributions

Families of densities

Densities associated with multiple variables

Function of random variables and change of variables in the probability density function

Sums of independent random variables

Products and quotients of independent random variables

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Map overview Semantic statistics

Probability density function

Nodes80
Edges79
Triples65
Avg. degree1.98
Density0.025
Components1

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Probability density function

Top relations

see also · 9
Probability density function → Area, Atomic, Complex, Concept, Density, Discrete-variable, Estimate, Function, Number
related to External links · 8
Probability density function → Density, EMS PressWeisstein, Encyclopedia, Eric, Mathematics, MathWorld, Probability, Ushakov
related to Link between discrete and continuous distributions · 7
Probability density function → Dirac, For, It, More, Rademacher, The, This
related to Densities associated with multiple variables · 6
Probability density function → For, If, Pr, This, X1, Xn
related to Families of densities · 6
Probability density function → Different, For, From, It, Since, This
related to Marginal densities · 5
Probability density function → For, This, X1, Xi, Xn
related to Function of random variables and change of variables in the probability density function · 4
Probability density function → However, If, It, This
related to Sums of independent random variables · 4
Probability density function → It, The, U1, UN
related to Vector to scalar · 4
Probability density function → Dirac, It, Let, This
related to Absolutely continuous univariate distributions · 3
Probability density function → Hence, Lebesgue-integrable, Pr

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Important terminology

probability density function random displaystyle distribution variable values variables continuous given frac set int used pdf hours dx possible one

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Probability density functionrelated to Absolutely continuous univariate distributionsLebesgue-integrable0.60section
Probability density functionrelated to Absolutely continuous univariate distributionsPr0.60section
Probability density functionrelated to Absolutely continuous univariate distributionsHence0.60section
Probability density functionrelated to CorollaryIf0.60section
Probability density functionrelated to Densities associated with multiple variablesFor0.60section
Probability density functionrelated to Densities associated with multiple variablesX10.60section
Probability density functionrelated to Densities associated with multiple variablesXn0.60section
Probability density functionrelated to Densities associated with multiple variablesThis0.60section
Probability density functionrelated to Densities associated with multiple variablesPr0.60section
Probability density functionrelated to Densities associated with multiple variablesIf0.60section
Probability density functionrelated to ExampleThis0.60section
Probability density functionrelated to ExampleLet0.60section

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