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[E340.Ebook] Fee Download Discrete Probability (Undergraduate Texts in Mathematics), by Hugh Gordon

Fee Download Discrete Probability (Undergraduate Texts in Mathematics), by Hugh Gordon

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Discrete Probability (Undergraduate Texts in Mathematics), by Hugh Gordon

Discrete Probability (Undergraduate Texts in Mathematics), by Hugh Gordon



Discrete Probability (Undergraduate Texts in Mathematics), by Hugh Gordon

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Discrete Probability (Undergraduate Texts in Mathematics), by Hugh Gordon

Intended as a first course in probability at post-calculus level, this book is of special interest to students majoring in computer science as well as in mathematics. Since calculus is used only occasionally in the text, students who have forgotten their calculus can nevertheless easily understand the book, and its slow, gentle style and clear exposition will also appeal. Basic concepts such as counting, independence, conditional probability, random variables, approximation of probabilities, generating functions, random walks and Markov chains are all clearly explained and backed by many worked exercises. The 1,196 numerical answers to the 405 exercises, many with multiple parts, are included at the end of the book, and throughout, there are various historical comments on the study of probability. These include biographical information on such famous contributors as Fermat, Pascal, the Bernoullis, DeMoivre, Bayes, Laplace, Poisson, and Markov. Of interest to a wide range of readers and useful in many undergraduate programs.

  • Sales Rank: #1566561 in Books
  • Brand: Brand: Springer
  • Published on: 1997-10-17
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.21" h x .75" w x 6.14" l, 1.19 pounds
  • Binding: Hardcover
  • 267 pages
Features
  • Used Book in Good Condition

Review
"The strength of the book are undoubtedly its exercises (over 400 of them), all with numerical solutions, and the many interesting remarks on the history of probability theory and biographies of important personalities that are scattered throughout the book."
European Mathematical Society Newsletter, December 2000

Most helpful customer reviews

3 of 5 people found the following review helpful.
worst probability book ever
By J. Musselman
I'm sorry, beginner? This book is supposed to be a beginner??? First, it's written like a novel... not going anywhere, really. They say written examples, yeah, right. You NEVER see any problems worked out, and the questions, very very AMBIGUOUS! I got about 20 different answers from 20 different ways of interpretting each problem at the back of each section. The book isn't layed out well at all. The answers in the back of the book make no sense. It gives the reader virtually no understanding of how the author got the answers. Plus, and I mean PLUS... this book is full of errors, both gramatical and in the formulas... I'm sorry, if you're going to write a book, make sure you get the formula's correct. Every prob and stat class I have, he tells us of the errors in this book.

Oh, a big no no for this book is in some of the questions at the end of each section, they assume knowledge of the next sections. Come on. This book has very few examples. For the kinds of questions it asks, it's not good enough that it have one or two examples, then ask more complex questions.

This book is all wrong. Worst book I've ever owned, probably. The only thing good about it is its size. It's easy to fit anywhere, but that's no reason to buy a book. Did the author or publisher even proof-read, I wonder. No wonder this book never had a second edition.

3 of 3 people found the following review helpful.
A little misunderstood
By A. Chaudry
I was forced to get this book for a class; otherwise, I wouldn't have bought something with bad reviews. The thing is, some of the previous reviewers don't like this book because it's "written like a novel." And I completely agree. It IS written like a novel. However, after some thinking, I have come to the conclusion that this is probably the best way to get the ideas across. Discrete probability would be EXTREMELY hard to understand without being wordy! This is not your regular algebra or analysis book.

I took off a star because there are many typos. I did find an errata sheet, but that was really hard to do. The author has passed away, and it's not a famous enough book to elicit reprinting, so that's definitely annoying. But give this book a chance. You might like the different approach to learning math in this book.

7 of 10 people found the following review helpful.
Not too great
By Ryan Mack
This book could be used as a reference by someone already familiar with probability, however this book claims to be an introductory text, which it is not. The back of the book claim that there are "many worked exercises" is simply a lie. There are very few exercises worked out. There are plenty of exercises at the end of each section, but only the answers are given with no explanations. If your goal is to learn probability on your own you couldn't make a poorer choice than this text and if you're a student using it you better hope your professor is competent.

See all 7 customer reviews...

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