Download Ebook A First Course in Probability, by Sheldon M. Ross
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A First Course in Probability, by Sheldon M. Ross
Download Ebook A First Course in Probability, by Sheldon M. Ross
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First all, everyone wishing to learn probability comes from different background, math level, and motivation. There is no book that suits all. Recently I needed to know something about moment generating functions. With all my advanced engineering background though, I find it difficult to get into probability. So I bought the following supposedly introductory texts: Ross, DeGroot, Stirzaker, Bersekas & Tsitsiklis. To me, Ross seems like a review lesson to cram for finals; it's choke full of examples but fairly spare in exposition. DeGroot is the opposite, long on descriptions but short on examples; by the time it finishes describing the problem, you have forgotten how to solve it. Probability is set up more as a prelude to statistics in the second half of the book. Stirzaker calls his book "elementary" the way Sherlock Holmes dismissed a case after slogging all night through the English bogs. It is more for the well-drilled boys from elite British "public" (private actually) schools. Bersekas comes closest to what I look for in a text, straightforward in prose with a judicious selection of examples to explain theory. For beginners, the best approach I found, in the end, was to go the local community college and buy the text used for Finite Math. Usually, there are 3 to 4 chapters that introduce probability. Such a text is aimed an audience from wider academic and language backgrounds, as community colleges are mandated to do.
- Sales Rank: #3460069 in Books
- Published on: 1988-03-02
- Number of items: 1
- Binding: Hardcover
- 422 pages
Most helpful customer reviews
13 of 14 people found the following review helpful.
A cram session for final
By SV engineer
First all, everyone wishing to learn probability comes from different background, math level, and motivation. There is no book that suits all. Recently I needed to know something about moment generating functions. With all my advanced engineering background though, I find it difficult to get into probability.
So I bought the following supposedly introductory texts: Ross, DeGroot, Stirzaker, Bersekas & Tsitsiklis. To me, Ross seems like a review lesson to cram for finals; it's choke full of examples but fairly spare in exposition. DeGroot is the opposite, long on descriptions but short on examples; by the time it finishes describing the problem, you have forgotten how to solve it. Probability is set up more as a prelude to statistics in the second half of the book. Stirzaker calls his book "elementary" the way Sherlock Holmes dismissed a case after slogging all night through the English bogs. It is more for the well-drilled boys from elite British "public" (private actually) schools. Bersekas comes closest to what I look for in a text, straightforward in prose with a judicious selection of examples to explain theory.
For beginners, the best approach I found, in the end, was to go the local community college and buy the text used for Finite Math. Usually, there are 3 to 4 chapters that introduce probability.
Such a text is aimed an audience from wider academic and language backgrounds, as community colleges are mandated to do. Therefore, probability is taught in simple, plain-spoken language crafted through multiple editions. One such is Finite Math, by Karl J. Smith; however, many others like it will do. For self-study, one might start in the chapter on probability to understand the author's approach, then go back a chapter or two to pick up the permutation and combinatorial math needed to calculate probability. Another alternative is just to enroll in a Finite Math course at a community college. Generally, such a course stops at Markov's chain which is enough to get you jump started in probability.
In any case, a good Finite Math text gives plenty of examples with clear, succinct, and layman-like explanation to help you tackle Ross' book or supplement any other at a higher level. If you plan to apply probability to your work, then shop around for another text after you get the basics. The thicker tomes delve more into theory which is good because real life problems are seldom like the examples given. However you can't go wrong by planting your feet solidly on a good Finite Math text first
0 of 0 people found the following review helpful.
Introductory course?!
By Carl Gilbert
So, prior to purchasing this book for my Introductory Course, I was informed that some of this book is written "oddly" by Mr. Ross and to be prepared.
As it turns out, my professor was underplaying that fact. Mr. Ross does in fact give many examples but his strategies are NOT consistent. Which can be a good or a bad thing. For me, it is a BAD thing. I love this edition because it is not a "new age" text book with 10000's of images and a veritable clown car of other stuff. It is math, pure and simple. He presents an idea, and then gives many examples. Rinse and repeat.
0 of 0 people found the following review helpful.
Chapters 1 - 5 get 5 stars, other chapters get 1 star
By Michael Rehwinkel
I found that Chapters 1 through 5 (Cominatorial analysis, axioms, Conditional Prob, Discreet RVs, Contious RVs) were very good. Everything else got a little confusing. After reading these later chapters, I found I could complete a little over half of the excercise in these back of these chapters, but some problems I couldn't solve no matter how much time I spent on them. It seemed some excercises were completely different than the examples in the chapters. I'm sure a solutions manual would have cleared everything up though.
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