Foundation of Probability Theory
暫譯: 機率論基礎
Feng-Yu Wang, Yong-Hua Mao
- 出版商: World Scientific Pub
- 出版日期: 2024-11-25
- 售價: $3,130
- 貴賓價: 9.5 折 $2,974
- 語言: 英文
- 頁數: 208
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9811298858
- ISBN-13: 9789811298851
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相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
相關主題
商品描述
This textbook presents measure theory in a concise yet clear manner, providing readers with a solid foundation in the mathematical axiomatic system of probability theory. Unlike elementary probability theory, which deals with random events through specific examples of random trials, Foundations of Probability Theory offers a comprehensive mathematical framework for rigorous descriptions of these events.As a result, this course embodies all the characteristics of mathematical theories: abstract content, extensive applications, complete structures, and clear conclusions. Due to the abstract nature of the material, learners may encounter various challenges. To overcome these difficulties, it is essential to keep concrete examples in mind when trying to understand abstract concepts and to compare the abstract theory with related courses previously studied, particularly the Lebesgue measure theory.To enhance the readability of the book, each section begins with a brief introduction outlining the main objectives based on the preceding content, highlighting the primary structure, and explaining the key ideas of the study. This approach ensures that readers can follow the material more easily and grasp the essential concepts effectively.
商品描述(中文翻譯)
本教科書以簡潔而清晰的方式介紹測度理論,為讀者提供概率論數學公理系統的堅實基礎。與處理隨機事件的初等概率論不同,初等概率論通過隨機試驗的具體例子來探討隨機事件,而《概率論基礎》則提供了一個全面的數學框架,以嚴謹的方式描述這些事件。因此,本課程體現了數學理論的所有特徵:抽象內容、廣泛應用、完整結構和清晰結論。由於材料的抽象性,學習者可能會遇到各種挑戰。為了克服這些困難,在理解抽象概念時,保持具體例子的思維是至關重要的,並且要將抽象理論與之前學習的相關課程進行比較,特別是勒貝格測度理論。為了提高本書的可讀性,每個部分都以簡短的介紹開始,概述基於前述內容的主要目標,突顯主要結構,並解釋研究的關鍵思想。這種方法確保讀者能更輕鬆地跟隨材料,並有效掌握基本概念。