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Algebraic statistics is the use of algebra to advance statistics. Algebra has been useful for experimental design, parameter estimation, and hypothesis testing. Traditionally, algebraic statistics has been associated with the design of experiments and multivariate analysis (especially time series). In recent years, the term "algebraic statistics" has been sometimes restricted, sometimes being used to label the use of algebraic geometry and commutative algebra in statistics.

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rdfs:label	Algebraic statistics (en)
rdfs:comment	Algebraic statistics is the use of algebra to advance statistics. Algebra has been useful for experimental design, parameter estimation, and hypothesis testing. Traditionally, algebraic statistics has been associated with the design of experiments and multivariate analysis (especially time series). In recent years, the term "algebraic statistics" has been sometimes restricted, sometimes being used to label the use of algebraic geometry and commutative algebra in statistics. (en)
dcterms:subject	Statistical theory
Wikipage page ID	17314682 (xsd:integer)
Wikipage revision ID	1097427380 (xsd:integer)
Link from a Wikipage to another Wikipage	Rosemary A. Bailey Multivariate analysis Time series Bernd Sturmfels Bernoulli distribution Statistical theory Jonathan Borwein Riesz space Ulf Grenander Design of experiments Invariant subspace Estimation Garrett Birkhoff Contraction mapping Ordered vector space Orthogonal array Lior Pachter Lucien Le Cam Simplex Statistics Commutative algebra Harmonic analysis Pattern theory C. R. Rao Haar measure Linear programming Locally compact group Akaike information criterion Algebra Algebraic curve Algebraic geometry Algebraic variety Hilbert metric Perron–Frobenius theorem Random variable Finite fields Stationary stochastic process Arne Beurling Abelian group Affine geometry Sumio Watanabe Henry Mann Henry Wynn Wold's theorem Association scheme Polynomial Principle of maximum entropy Discrete random variable Image analysis Computational learning theory Statistical theory Lattice theory Watanabe-Akaike information criterion Hypothesis testing Statistical decision theory Spatial statistics Parameter estimation R. A. Bailey R. C. Bose Contraction mapping theorem Singular statistical model Infinite dimensional optimization Binomial random variable Ronald A. Fisher Wold decomposition
Link from a Wikipage to an external page	https://archive.org/details/blockdesignsrand0002cali http://www.maths.qmul.ac.uk/~rab/Asbook/ https://jalgsta.com https://books.google.com/books%3Fid=GiYc5nRVKf8C%7Cedition=First%7Cpublisher=Wiley%7Cisbn=978-0-471-55177-5 https://web.archive.org/web/20040905100535/http:/titles.cambridge.org/catalogue.asp%3Fisbn=052182446X https://msp.org/astat
sameAs	Algebraic statistics Algebraic statistics Algebraic statistics Algebraic statistics
dbp:wikiPageUsesTemplate	dbt:Cite_book dbt:ISBN dbt:Reflist
has abstract	Algebraic statistics is the use of algebra to advance statistics. Algebra has been useful for experimental design, parameter estimation, and hypothesis testing. Traditionally, algebraic statistics has been associated with the design of experiments and multivariate analysis (especially time series). In recent years, the term "algebraic statistics" has been sometimes restricted, sometimes being used to label the use of algebraic geometry and commutative algebra in statistics. (en)
gold:hypernym	Use
prov:wasDerivedFrom	wikipedia-en:Algebraic_statistics?oldid=1097427380&ns=0
page length (characters) of wiki page	8766 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Algebraic_statistics
is Link from a Wikipage to another Wikipage of	Bernd Sturmfels Applied mathematics Design of experiments Elizabeth S. Allman Geometric data analysis

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