This concise monograph in probability by 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 Mark 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."
| ISBN: | 9780486821580 |
| Publication date: | 28th September 2018 |
| Author: | Mark Kac |
| Publisher: | Dover Publications an imprint of Dover Publications Inc. |
| Format: | Paperback |
| Pagination: | 112 pages |
| Series: | Dover Books in Science and Mathematics |
| Genres: |
Probability and statistics |
This concise monograph in probability by 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.
Statistical Independence in Probability, Analysis & Number Theory features in the following genres: Probability and statistics
Paperback. Not Available.
Statistical Independence in Probability, Analysis & Number Theory was written by Mark Kac and published by Dover Publications an imprint of Dover Publications Inc.
Statistical Independence in Probability, Analysis & Number Theory has 112 pages
Yes it is part of Dover Books in Science and Mathematics series