| 书目名称 | Measure-Theoretic Probability |
| 副标题 | With Applications to |
| 编辑 | Kenneth Shum |
| 视频video | |
| 概述 | Provides an accessible introduction to measure-theoretic probability for undergraduate students.Appeals to a broad audience of undergraduates with informative examples from statistics and engineering. |
| 丛书名称 | Compact Textbooks in Mathematics |
| 图书封面 |  |
| 描述 | .This textbook offers an approachable introduction to measure-theoretic probability, illustrating core concepts with examples from statistics and engineering. The author presents complex concepts in a succinct manner, making otherwise intimidating material approachable to undergraduates who are not necessarily studying mathematics as their major. Throughout, readers will learn how probability serves as the language in a variety of exciting fields. Specific applications covered include the coupon collector’s problem, Monte Carlo integration in finance, data compression in information theory, and more.. .Measure-Theoretic Probability. is ideal for a one-semester course and will best suit undergraduates studying statistics, data science, financial engineering, and economics who want to understand and apply more advanced ideas from probability to their disciplines. As a concise and rigorous introduction to measure-theoretic probability, it is also suitable for self-study.Prerequisites include a basic knowledge of probability and elementary concepts from real analysis.. |
| 出版日期 | Textbook 2023 |
| 关键词 | Probability theory; Measure theory; Probability applications; Real analysis; Measure-theoretic probabili |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-49830-5 |
| isbn_softcover | 978-3-031-49832-9 |
| isbn_ebook | 978-3-031-49830-5Series ISSN 2296-4568 Series E-ISSN 2296-455X |
| issn_series | 2296-4568 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:45:13
