A Ramble through Probability : How I Learned to Stop Worrying and Love Measure Theory Paperback / softback
by Samopriya Basu, Troy Butler, Don Estep, Nishant Panda
Part of the Computational Science and Engineering series
Paperback / softback
Description
Measure theory and measure-theoretic probability are fascinating subjects.
Proofs describing profound ways to reason lead to results that are frequently startling, beautiful, and useful.
Measure theory and probability also play roles in the development of pure and applied mathematics, statistics, engineering, physics, and finance.
Indeed, it is difficult to overstate their importance in the quantitative disciplines.
This book traces an eclectic path through the fundamentals of the topic to make the material accessible to a broad range of students. A Ramble through Probability: How I Learned to Stop Worrying and Love Measure Theory brings together the key elements and applications in a unified presentation aimed at developing intuition; contains an extensive collection of examples that illustrate, explain, and apply the theories; and is supplemented with videos containing commentary and explanations of select proofs on an ancillary website.
Information
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Out of stock
- Format:Paperback / softback
- Pages:611 pages
- Publisher:Society for Industrial & Applied Mathematics,U.S.
- Publication Date:31/03/2024
- Category:
- ISBN:9781611977813
Information
-
Out of stock
- Format:Paperback / softback
- Pages:611 pages
- Publisher:Society for Industrial & Applied Mathematics,U.S.
- Publication Date:31/03/2024
- Category:
- ISBN:9781611977813
