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.


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
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

Referenced by (1)
Subject (surface form when different) Predicate
Mark Kac
hasPublication

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