Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
  • Android
  • Windows Phone
  • Android

To get the free app, enter your email address or mobile phone number.
Download to your computer
Kindle Cloud Reader

A Probability Path 1st ed. 1998. 3rd printing 2003 Edition

by Sidney Resnick (Author)
4.3 out of 5 stars 18 customer reviews
ISBN-13: 978-0817640552
ISBN-10: 081764055X
Why is ISBN important?
ISBN
This bar-code number lets you verify that you're getting exactly the right version or edition of a book. The 13-digit and 10-digit formats both work.
Scan an ISBN with your phone
Use the Amazon App to scan ISBNs and compare prices.
Sell yours for a Gift Card
We'll buy it for $3.17
Learn More
Trade in now
Have one to sell? Sell on Amazon

Sorry, there was a problem.

There was an error retrieving your Wish Lists. Please try again.

Sorry, there was a problem.

List unavailable.
Facebook Twitter Pinterest
Try the eTextbook for free On clicking this link, a new layer will be open
$0.00 On clicking this link, a new layer will be open
Buy used On clicking this link, a new layer will be open
$20.78 On clicking this link, a new layer will be open
More Buying Choices
11 New from $50.00 29 Used from $16.79
40 used & new from $16.79
See All Buying Options
Free Two-Day Shipping for College Students with Amazon Student Free%20Two-Day%20Shipping%20for%20College%20Students%20with%20Amazon%20Student

Solar System: A Visual Exploration of the Planets, Moons, and Other Heavenly Bodies that Orbit Our Sun by Marcus Chown
SOLAR SYSTEM and more great science books
Now in paperback, Solar System is the instant, international bestseller and one of the titles in Black Dog & Leventhal's popular science series. Learn more | See related books

Customers Viewing This Page May Be Interested In These Sponsored Links

  (What's this?)
NO_CONTENT_IN_FEATURE

Product Details

  • Paperback: 453 pages
  • Publisher: Birkhäuser; 1st ed. 1998. 3rd printing 2003 edition (October 16, 1999)
  • Language: English
  • ISBN-10: 081764055X
  • ISBN-13: 978-0817640552
  • Product Dimensions: 6.1 x 1 x 9.2 inches
  • Shipping Weight: 1.7 pounds
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (18 customer reviews)
  • Amazon Best Sellers Rank: #1,020,267 in Books (See Top 100 in Books)

    •  Would you like to update product info or give feedback on images?

Customers Viewing This Page May Be Interested In These Sponsored Links

  (What's this?)

Customer Reviews

Top Customer Reviews

5.0 out of 5 starsTrue to its word
By Giuseppe A. Paleologo on November 15, 2000
Format: Paperback
The author wrote this book with non-math graduate students in mind, and succeeded admirably. The book is readable, impeccably written, with a choice of topics that satifies most modern curricula in stochastic analysis for statisticians, operations researchers, control engineers and the like. Measure theory is included (chapter 1), and receives a less cursory treatment than in Breiman's and Durrett's textbooks. The range of topics is streamlined to the truly essential tools of probability. Most notably ergodic theorems, considered standard material by other authors (e.g. Breiman, Billingsley, Shyriaev, Durrett) are not covered. Advanced topics like CLT for martingales and brownian motion are not even mentioned. On the other side, Weak* convergence, conditional dsitribution and martingales receive very good treatment, covering material you WON'T find elsewhere (e.g. Prohorov's theorem). The level of mathematical rigor is only an epsilon less than Durrett or similar works, but the payoff is much greater readability. After a careful study of the book, the reader should be equipped with the tools needed to study advanced monographies (e.g. Karatzas and Shreve, or Dembo and Zeitouni).
In my opinion this is the perfect "support" book. Read this first to grab a hold of a specific topic; then go to somewhat more advanced book to understand the rest. Also, I believe it a very suitable textbook for self-instruction. Needless to say, it's much harder to write a book like this than a very inclusive but hard-to-read manual!
Two final pieces of information for the potential buyer. First, S.Resnick (Cornell U) is a regognized leader in the discipline of probability theory and statistics.Read more ›
Comment 96 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
5.0 out of 5 starssome more details
By A Customer on April 28, 2003
Format: Paperback
I've been reading this book along with Durrett's PROBABILITY: THEORY AND METHODS and Williams' PROBABILITY WITH MARTINGALES. I also have Billingsley's PROBABILITY AND MEASURE. All of these are good books, pitched at roughly the same level. Here are a few more specific reactions:
1) Measure theory background: Resnick & Billingsley assume no background in measure theory and interleave the relevant measure theory with probability. Durrett & Williams have appendices on measure theoretic results which cover more or less the same ground.
2) Mathematical level: Resnick is a easier than the others. He spells out lots of details in the proofs that are either left as exercises or omitted altogether in the other books. I found myself reading a statement in Resnick, asking myself why the statement was true, working out the answer easily--only to find that Resnick provided the details shortly thereafter. Sometimes this is a good thing, sometimes a little tedious.
3) Style: I'd rate Resnick below Williams and Billingsley. Williams has very elegant proofs and covers as much material as Resnick in half as much space. Billingsley is wonderfully eclectic and makes connections to lots of other areas of mathematics. Resnick is easy enough to understand, but is much more workman-like.
I think Resnick fills an important niche in this literature. I think it's a good book for teaching. I also refer to it frequently when I'm confused by something in the other books. It's thorough, relatively easy to understand, and seems to be accurate.
Comment 73 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
5.0 out of 5 starsexcellent book
By Michael R. Chernick on July 1, 2008
Format: Paperback
Gappy has gotten it right as he usually does. As a statistician who took courses in stochastic processes from Resnick at Stanford in the mid 1970s at the beginning of his career I know that he uses rigor guided by good intuition. That is the way he teaches and that is the way he writes. I have read most of the books he has written and always enjoy them and find something new in each one.

This book is written for graduate students so it is not a text that can be handled by people with very weak mathematical backgrounds. On the other hand advanced knowledge of probability theory is not needed as Resnick builds up the methods and tools to be mathematically rigorous and yet give those who are not strongly mathematically inclined a feel for probability.
Comment 32 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse
5.0 out of 5 starsMeasure-theoretic probability for everybody
By Marco Taboga mtaboga@tiscalinet.it on April 27, 2002
Format: Paperback
This is indeed the best probability book I have ever read. It is the only non-elementary probability book (to my knowledge) which even non-mathematicians (e.g.: economists, engineers) may find easy to read. It provides a satisfactory treatment of measure-theoretic probability, it covers a good number of topics and it provides nice and eminently readable proofs for every theorem. All mathematics books should be written like this one: there are no oversimplifications, advanced results are presented when needed, everything is carefully proved, but it never lacks of explanations, nor too much knowledge is assumed of the reader (just a bit of calculus and elementary probability). You never have to struggle to understand things, because the author does not save words or formulas, in order to make everything clear. If I could give this book ten stars, I would. It is incomparably easier to read than Williams, Jacod and Protter, Capinski and Kopp, Ash or Billingsley. I reccomend it especially to financial economists willing to study seriously stochastic processes and stochastic differential equations.
Comment 32 people found this helpful. Was this review helpful to you? Yes No Sending feedback...
Thank you for your feedback.
Sorry, we failed to record your vote. Please try again
Report abuse

Most Recent Customer Reviews

5.0 out of 5 starsFive Stars

great book

Published 5 months ago by Lyu Lin
5.0 out of 5 starsPlease, provide errata list for the reader

I bought 1998 edition of this book.

The content of this book is great! I haven't seen such heuristic explanations in other books. Read more

Published on January 9, 2014 by Sungchan Kang
5.0 out of 5 starsAwesome awesome book, highly recommend!

The book is true to its word, as many other reviews have already testified. I entered a graduate level probability class with a math bachelors background, and with only one... Read more

Published on November 23, 2013 by Edward Schuberg
1.0 out of 5 starsNot a good book

I would say that this is a horrible book for a first graduate course in probability, and don't understand why is it used so widely. Read more

Published on September 26, 2013 by rahul
2.0 out of 5 starsphotocopying the book yourself rather than print on demand?

The content of the book is excellent, my problem is with the very poor quality of the print on demand reproduction. Read more

Published on September 13, 2013 by DR ANDREW STACEY
5.0 out of 5 starsVery Good

It's really a great book. The shipping is fast, and the package is well taken care of. The book itself is absolutely brand new. I like it. Thanks!

Published on December 17, 2010 by Crystal
3.0 out of 5 starsGood book, lots of hand-waving

This is a good book for a theoretical, analysis-based look at probability measure theory. If you haven't had any measure theory or analysis before, you may find it a bit hard to... Read more

Published on September 25, 2010 by DHeard
5.0 out of 5 starsGreat book.

The book is very simple and easily understood. It is ideal for Engineers who are looking for an understanding of the basics of Probability theory.

Published on September 3, 2010 by Abhi
5.0 out of 5 starsA good choice for a first book on measure-theoretic probability.

There are more advanced texts out there, but this one can serve as a very good choice for a first time acquaintance with measure-theoretic probability. Read more

Published on May 24, 2009 by A customer
5.0 out of 5 starsA MUST-HAVE!!!

I'm a PhD student doing mostly computational mathematics and operation research. While I'm currently working in applied field, my background is in pure math, so I prefer a book... Read more

Published on December 23, 2007 by S. Jasin

There's a problem loading this menu right now.

Learn more about Amazon Prime.