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The fundamental character and spirit of this classic remain unchanged, but there are up-dated, revised, and new materials.
This volume features typically thorough coverage--both applied and abstract--of the most "popular" densities, along with the measure-theocratic bases of the theory.
Probabilistic subjects include the laws of large numbers, the central limit theorem, infinitely divisible distributions, Markov processes, random walks and renewal theory. Included, too, in the techniques are Laplace and Fourier transforms, semi-groups and general harmonic analysis.
Experts will find new proofs and results, particularly the rewritten chapter 17. This edition consolidates and unifies the general methodology, obtaining coherence through the resultant simplification.
--back cover
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- Created July 29, 2019
- 13 revisions
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July 22, 2024 | Edited by MARC Bot | import existing book |
December 14, 2023 | Edited by MARC Bot | import existing book |
May 20, 2023 | Edited by Lisa | split into new work |
May 20, 2023 | Edited by Lisa | reverted to revision 7 |
July 29, 2019 | Created by Lisa | Added new book. |