Statistical Independence in Probability, Analysis and Number Theory

E92910

"Statistical Independence in Probability, Analysis and Number Theory" is a mathematical monograph by Mark Kac that explores the concept of independence across probability theory, real analysis, and number theory.

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Generate an image of Statistical Independence in Probability, Analysis and Number Theory ("Statistical Independence in Probability, Analysis and Number Theory" is a mathematical monograph by Mark Kac that explores the concept of independence across probability theory, real analysis, and number theory.)

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Statements (36)

Predicate Object
instanceOf book ⓘ
mathematical monograph ⓘ
academicDiscipline mathematics ⓘ
author Mark Kac ⓘ
contributor Mark Kac ⓘ
exploresConcept independence in measure-theoretic probability ⓘ
independence in number theory ⓘ
independence in real analysis ⓘ
independence of random variables ⓘ
field number theory ⓘ
probability theory ⓘ
real analysis ⓘ
focusesOn applications of independence in analysis ⓘ
connections between probability and number theory ⓘ
genre mathematics literature ⓘ
non-fiction ⓘ
hasAuthor M. Kac ⓘ
linked to: Mark Kac

Mark Kac ⓘ
hasForm monograph ⓘ
hasMathematicalSubject analysis ⓘ
number theory ⓘ
probability theory ⓘ
hasTopic distribution of arithmetic functions ⓘ
independence and correlation ⓘ
limit theorems ⓘ
measure theory ⓘ
probabilistic methods in number theory ⓘ
probability on number-theoretic structures ⓘ
random variables ⓘ
intendedAudience graduate students in mathematics ⓘ
mathematicians ⓘ
isAbout independence across different branches of mathematics ⓘ
language English ⓘ
mainSubject statistical independence ⓘ
subjectOf studies on probabilistic number theory ⓘ
writtenBy Mark Kac ⓘ

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Mark Kac → hasPublication → Statistical Independence in Probability, Analysis and Number Theory ⓘ