Using the simple conceptual framework of the Kolmogorov model, this intermediate-level textbook discusses random variables and probability distributions, sums and integrals, mathematical expectation, sequence and sums of random variables, and random processes. For advanced undergraduate students of science, engineering, or mathematics acquainted with basic calculus. Includes problems with answers and six appendixes. 1965 edition.
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12 of 14 people found the following review helpful:
4.0 out of 5 stars
Good theoretical treatment,
By A Customer
This review is from: Concepts of Probability Theory (Dover Books on Mathematics) (Paperback)
A nice rigourous treatement of concepts of probability. What is missing is a formal treatment of vectors (general case for random variables).Many proofs are supplied as well as some good examples. There are also some appendices on combinatorial analysis and set theory.
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Fantastic,
By Jesse Taylor (North Idaho) - See all my reviews
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This review is from: Concepts of Probability Theory (Dover Books on Mathematics) (Paperback)
Outstanding ... amazingly clear intro. Effective diagrams (some of the best I've found in ANY math book). Interesting examples/applications ... a+++
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