
This text provides undergraduate mathematics students with an introduction to the modern theory of probability as well as the roots of the theory's mathematical ideas and techniques. Centered around the concept of measure and integration, the work is applicable to other branches of analysis and explores more specialized topics, including convergence theorems and random sequences and functions. 1963 edition.
This text investigates the foundational relationship between measure theory and the modern mathematical framework of probability. H. R. Pitt, an established mathematician, constructs a rigorous bridge between classical analysis and probabilistic theory. By focusing on the mechanics of integration, the author provides students with the necessary tools to understand the underlying structure of random sequences and functions.
What You Will Find
Scope Limits
Readers frequently note the academic density of the prose, which is typical of mid-twentieth-century mathematics texts. Experts highlight this as a foundational resource for students transitioning from calculus to measure-theoretic probability.
Page Count:
118
Publication Date:
1963-01-01
Publisher:
Hafner Publishing Company
ISBN-10:
0050012932
ISBN-13:
9780050012932
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