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Statistical Independence in Probability, Analysis and Number Theory (Dover Books on Mathematics) - Softcover
Synopsis
This concise monograph in probability by Mark Kac, a well-known mathematician, presumes a familiarity with Lebesgue's theory of measure and integration, the elementary theory of Fourier integrals, and the rudiments of number theory. Readers may then follow Dr. Kac's attempt "to rescue statistical independence from the fate of abstract oblivion by showing how in its simplest form it arises in various contexts cutting across different mathematical disciplines."
The treatment begins...
About the Author
Mark Kac (1914–1984) was born in Poland and came to the United States in the 1930s. He taught at Cornell and later served on the faculties of Rockefeller University in New York and the University of Southern California. His main focus was probability theory, and Dover also publishes his Mathematics and Logic, co-written with S. M. Ulam.
Review
A masterly celebration of the unity of mathemtics. -- Ian Stewart
Terrific, friendly, and profound. -- Persi Diaconis
"About this title" may belong to another edition of this title.
- PublisherDover Publications
- Publication date2018
- ISBN 10 0486821587
- ISBN 13 9780486821580
- BindingPaperback
- LanguageEnglish
- Number of pages112
- Rating
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Statistical Independence in Probability, Analysis and Number Theory (Dover Books on Mathematics)
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Dover Publications, Incorporated, 2018
ISBN 10: 0486821587
ISBN 13: 9780486821580
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