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John J. Schiller, is an Associate Professor of Mathematics at Temple University. He received his Ph.D. at the University of Pennsylvania and has published research papers in the areas of Riemann surfaces, discrete mathematics biology. He has also coauthored texts in finite mathematics, precalculus, and calculus.
Alu Srinivasan is Professor of Mathematics at Temple University. He received an M.S. in statistics and a Ph.D. in Mathematics from Wayne State University, and was Chair of Temple's Mathematics Department from 1990 to 1998. His primary research interests are in applied and mathematical statistics, combinatorics and probability. He has published some seventy papers in these areas and has supervised a dozen Ph.D. dissertations in statistical inference and biostatistics.
--This text refers to an out of print or unavailable edition of this title.
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Most Helpful Customer Reviews
45 of 45 people found the following review helpful:
5.0 out of 5 stars
Absolutely Great for Self-Study and Understanding,
This review is from: Schaum's Outline: Probability and Statistics, Second Edition (Paperback)
This is a completely outstanding work by an outstanding author. I have used this book for years, and again and again find myself turning to it for essential summaries and derivations of key results. Evidently some reviewers have not even caught on to the fact that the proofs of all the theorems are in the solved problems! (This is my first Amazon review, but I cannot allow the injustice perpetrated by some other reviewers to stand.)All of the (few) typos of concern to some reviewers are in the "supplementary problems", and by the time you've got there you'll have no little confidence in your own answers and in your own ability. This is *the* probability and statistics book for me because the proofs are presented with minimum formality in order to maximize understanding of the main ideas. Want to know how to *derive* the chi-square distribution or how to add or multiply random variables? You'll find no clearer or more succinct presentation anywhere. The first two chapters are also suitable for beginners. Copious examples (as thoughout) attend the presentations of (elementary) set theory, probability axioms, and combinatorics. The supplementary problems, always optional, however, do contain intermediate level challenges. The book is entirely self-contained, and though it is of course true that extra books always help, it's the best single-source. It's ideal for self-study, as are all of Murray Spiegel's Schaum Outlines.
18 of 20 people found the following review helpful:
4.0 out of 5 stars
huh?,
By esseyo (Jersey City, NJ United States) - See all my reviews
This review is from: Schaum's Outline: Probability and Statistics, Second Edition (Paperback)
Most books have errors and typos. This book is no exception but I am curious as to why some reviewers think that nothing is proven. Of course some theorems are not proven rigorously which they can't be at this level but most proofs exist. If you are confused about Jacobians, then maybe you should also reference a calculus book because Spiegel expects that you know what that is.This is an excellent book to refresh your knowledge of intro probability and statistics but assumes you are proficient in calculus.
13 of 15 people found the following review helpful:
5.0 out of 5 stars
Practical way to become proficient in problem solving,
By "gebenter44" (Milwaukee, WI) - See all my reviews
This review is from: Schaum's Outline: Probability and Statistics, Second Edition (Paperback)
I have used this book to teach myself statistics and probability theory in a relatively short period of time. The essentials are well laid out and reinforced with plenty of examples and exercises. I would recommend using a Schaum outline authored by Murray Spiegel for becoming proficient in problem solving in that particular area. I got started this way after reading the book, Indiscrete Thoughts by Gian Carlo Rota.
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