Foundation Of Probability Theory
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A01=Feng-yu Wang
A01=Yong-hua Mao
Age Group_Uncategorized
Age Group_Uncategorized
Author_Feng-yu Wang
Author_Yong-hua Mao
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Category1=Non-Fiction
Category=PBT
Category=PBWL
Characteristic Function
Conditional Expectation
COP=Singapore
Delivery_Pre-order
eq_isMigrated=0
eq_isMigrated=2
eq_nobargain
Expectation
Integral
Language_English
Measurable Function
Measure Space
PA=Temporarily unavailable
Price_€50 to €100
Probability Distance
Probability Space
PS=Forthcoming
Random Variable
Regular Conditional Probability
softlaunch
Weak Convergence
Product details
- ISBN 9789811298851
- Publication Date: 25 Nov 2024
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
- Language: English
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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.
