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An Introduction to Probability Theory and Its Applications, Volume 1
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An Introduction to Probability Theory and Its Applications, Volume 1

4.46 of 5 stars 4.46  ·  rating details  ·  59 ratings  ·  6 reviews
Major changes in this edition include the substitution of probabilistic arguments for combinatorial artifices, and the addition of new sections on branching processes, Markov chains, and the De Moivre-Laplace theorem.
Hardcover, Third Edition, 528 pages
Published January 1st 1968 by Wiley
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Dorai
I don't think it is necessary to seek "easier" introductions to probability than this classic. The prose is quite readable, and the mathematics is accessible to a reader who has some calculus and is willing to stick with it. (I took a peek at Volume 2, and I can't claim the same for it.) The author clearly marks out what can be skipped, so you can strengthen your probabilistic intuitions without beating yourself up too much.

Amusingly, even Feller sometimes nods.

On page 10 (2nd ed, 1957), while
...more
Phan Duc thanh
I read this classic book for my Introduction to Probability class and found it quite pleasurable. It (the first volume) gives a pretty comprehensive overview of elementary probability. The author could be verbose at times but it does not really bother me. As its name suggests, it contains multiple interesting real-world examples (albeit not today world) to illustrate how we can apply the theoretical concepts.
DJ
Jun 13, 2010 DJ marked it as to-review
Shelves: math
Greatly enjoyed my intro probability class but interested in plugging holes and exploring further. Heard this was the probability monogram and have high expectations.
Jerzy
Jun 02, 2010 Jerzy marked it as to-read
Shelves: statistics
Apparently an old classic -- I'm poking through in my spare time and it seems good so far.
Evan
i admit, this is as good as everything says it is.
Nicholas
Mar 22, 2013 Nicholas marked it as to-read
Technical but classic text on probability.
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An Introduction to Probability Theory and Its Applications, Volume II Introduction to Probability Theory and Its Applications. Vols 1 & 2.

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