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In mathematics, a univariate object is an expression, equation, function or polynomial involving only one variable. Objects involving more than one variable are multivariate. In some cases the distinction between the univariate and multivariate cases is fundamental; for example, the fundamental theorem of algebra and Euclid's algorithm for polynomials are fundamental properties of univariate polynomials that cannot be generalized to multivariate polynomials.

Attributes	Values
rdfs:label	أحادية المتغير (رياضيات) (ar) Univariable (ca) Univariat (de) Univariate (en)
rdfs:comment	في الرياضيات، يصف التعبير أحادية المتغير (بالإنجليزية: Univariate)‏ تعبيرا أو معادلة أو دالة أو متعددة حدود عدد متغيراتها يساوي الواحد. (ar) En matemàtiques, el terme univariable es refereix a una expressió, equació, funció o polinomi que té només una variable. En cas que tinguin més d'una variable s'anomenen multivariables. En alguns casos la distinció entre els casos univariable i multivariable és fonamental: per exemple, el teorema fonamental de l'àlgebra i l' són propietats bàsiques dels polinomis univariables que no es poden generalitzar a polinomis multivariables. El terme s'utilitza en estadística per distingir una distribució d'una variable respecte d'una distribució de diverses variables. (ca) Der mathematische Begriff univariat bezeichnet die Abhängigkeit von nur einer Variablen. In der Statistik wird der Begriff in verwandter Bedeutung verwendet. (de) In mathematics, a univariate object is an expression, equation, function or polynomial involving only one variable. Objects involving more than one variable are multivariate. In some cases the distinction between the univariate and multivariate cases is fundamental; for example, the fundamental theorem of algebra and Euclid's algorithm for polynomials are fundamental properties of univariate polynomials that cannot be generalized to multivariate polynomials. (en)
dcterms:subject	Theory of probability distributions Mathematical terminology
Wikipage page ID	2398982 (xsd:integer)
Wikipage revision ID	1124111612 (xsd:integer)
Link from a Wikipage to another Wikipage	Theory of probability distributions Scalar (mathematics) Multivariate statistics Equation Function (mathematics) Fundamental theorem of algebra Bivariate (disambiguation) Arity Statistics Euclid's algorithm for polynomials Univariate distribution Frequency distribution Mathematical terminology Polynomial Time series analysis Variable (mathematics) Expression (mathematics) Multivariate (disambiguation) Univariate analysis Univariate binary model Univariate time series Joint distributions dbr:Wikt:multivariate
sameAs	Univariate Univariate Univariate Univariate Univariate Univariate Univariate Univariate
dbp:wikiPageUsesTemplate	dbt:Reflist dbt:Short_description dbt:Math-stub
has abstract	في الرياضيات، يصف التعبير أحادية المتغير (بالإنجليزية: Univariate)‏ تعبيرا أو معادلة أو دالة أو متعددة حدود عدد متغيراتها يساوي الواحد. (ar) En matemàtiques, el terme univariable es refereix a una expressió, equació, funció o polinomi que té només una variable. En cas que tinguin més d'una variable s'anomenen multivariables. En alguns casos la distinció entre els casos univariable i multivariable és fonamental: per exemple, el teorema fonamental de l'àlgebra i l' són propietats bàsiques dels polinomis univariables que no es poden generalitzar a polinomis multivariables. El terme s'utilitza en estadística per distingir una distribució d'una variable respecte d'una distribució de diverses variables. (ca) Der mathematische Begriff univariat bezeichnet die Abhängigkeit von nur einer Variablen. In der Statistik wird der Begriff in verwandter Bedeutung verwendet. (de) In mathematics, a univariate object is an expression, equation, function or polynomial involving only one variable. Objects involving more than one variable are multivariate. In some cases the distinction between the univariate and multivariate cases is fundamental; for example, the fundamental theorem of algebra and Euclid's algorithm for polynomials are fundamental properties of univariate polynomials that cannot be generalized to multivariate polynomials. In statistics, a univariate distribution characterizes one variable, although it can be applied in other ways as well. For example, univariate data are composed of a single scalar component. In time series analysis, the whole time series is the "variable": a univariate time series is the series of values over time of a single quantity. Correspondingly, a "multivariate time series" characterizes the changing values over time of several quantities. In some cases, the terminology is ambiguous, since the values within a univariate time series may be treated using certain types of multivariate statistical analyses and may be represented using multivariate distributions. In addition to the question of scaling, a criterion (variable) in univariate statistics can be described by two important measures (also key figures or parameters): Location & Variation. * Measures of Location Scales (e.g. mode, median, arithmetic mean) describe in which area the data is arranged centrally. * Measures of Variation (e.g. span, interquartile distance, standard deviation) describe how similar or different the data are scattered. (en)
prov:wasDerivedFrom	wikipedia-en:Univariate?oldid=1124111612&ns=0
page length (characters) of wiki page	2420 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Univariate
is Link from a Wikipage to another Wikipage of	Quadratic equation Quadratic function Samarendra Nath Roy Multivariate Olympic medal table Binomial (polynomial) Algebraic equation Dot plot (statistics) Indeterminate equation Credit analysis General linear model Natural selection Geometric median Multivariate kernel density estimation Multivariate normal distribution Coppersmith's attack 2011 United Kingdom census Arithmetic derivative Likelihood function Linear differential equation Complex conjugate Complex quadratic polynomial Kernel density estimation Plot (graphics) Spline (mathematics) Mathematics education in the United States Mauchly's sphericity test Buyer decision process Univariate distribution Akaike information criterion Pairwise independence Paleothermometer Central moment Kolmogorov–Arnold representation theorem Lee–Carter model Primitive part and content Ridge function HPV-positive oropharyngeal cancer Inverse-Wishart distribution AP Statistics Aberth method Bird measurement Symmetric polynomial Synthetic division Economic data Heritability Receiver Operating Characteristic Curve Explorer and Tester

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