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For a 'first course in probability', it's quite heavy and complete. Be ready for some mild headaches on the way since the book is exercise-centric. But it's worth it! If you want to learn virtually everything about combinations and random variables, this book is great. And I'm so glad to have learned about the concept of surprise and how, from a simple set of axioms, one can retrieve the entropy formula!! (check section 9.3). Another plus, despite the tremendous amount of exercises, all solution...
As the saying goes, probability is inherently challenging, not trivial like calculus. If your feelings about calculus are a bit different, you might find this book not so much a "first course" as a confusing deathmarch.This ISBN is the 2nd Edition.
Eu tenho pouca disciplina para estudar um tema técnico sozinho. Tinha tendo estudar esse livro por conta uma vez, mas parei rápido. Dessa vez usei o livro para acompanhar um curso de probabilidade que fiz no Verão do IME e fluiu muito bem. Carrot and stick.O livro é muito bem escrito e, ao meu ver, tem a forma de apresentação adequada para o tópico. Ou seja, focado na resolução de problemas. Não porque você precisa ser treinado para um teste, mas porque é impossível discutir probabilidade, em ní...
Good examples, good problems. Sometimes the explanations didn't help as much as I'd like them to, and sometimes the problems were overly-repetitive. Still, good.
Honestly, I hated this book with a passion, primarily due to the author's convoluted delivery style. To enjoy this book you either need to(i) have to a high pain tolerance(ii) have to be sufficiently experienced with relevant mathematical topics to the extent that you can leverage that experience to QUICKLY fill the myriad massive gaps Sheldon leaves in his "explanations"(iii) have a lot of time on your handsIf one randomly picks any 10 explanations or examples from the book, with a high probabi...
The name "a first course in probability" is a bit misleading. It might actually be accurate for math majors, but not for the general audience. The book presumes some knowledge in single and multivariate calculus, so be aware of that. The book is amazing and if you have some math background you should be fine, altough you might have some difficulties in the proof sections. Take a look on mathematical induction and you'll be fine.The best part of the book is that it's packed with examples. You hav...
Mathematicians might like it; I don’t. The explanations are clumsy and not elucidating. No matter how smart the speaker might think oneself, the proof lies in the ability to convey information to a diverse audience with various backgrounds in a clear and concise way. Effectively. Or, put another way: Explain it to me like I know nothing. For a ‘first course’, this book does the job poorly.My kid’s high school text does a better job with every single one of these concepts better.
This was the assigned textbook for my probability course. It's a great read with a lot of quality examples in the text. It didn't feel like it was jumping to conclusions, and it builds a good theoretical background for the conclusions it draws.
There are many good, challenging problems in this book (such as ___, ___, ___ and ____ (TO UPDATE LATER)).I'm taking off one star though, because some of the proofs were unrigorous (such as (some of the moment-generating function stuff) and ___ (TO UPDATE LATER).
Often unclear. Dislike the style of Ross. Upside is that it covers many important topics.
The best book on probability theory
wide range of topics. the author ' explanation is usually not very rigorous or understandable. it still do a good job for what it intends to do.
nice
Stanford 2018 summer class. CS109: Introduction to Probability for Computer Science.
Every time reading it. Always new.
A good introduction to probability. This textbook would be a great resource for individuals (even if you are not a Mathematics student) to learn more about the basics of the topic.
3.0 out of 5 starsProbably a Good Book for the BrilliantJuly 31, 2005While in college almost 25 years ago, I vowed never again to read a book that talks about pulling balls from urns: i.e., no more probability books. But, since this book is used in a required course for a degree program I was reading through (Florida State University's (FSU's) STA 4442: "Introductory Probability I" course, required for their Computer Science degree), I decided to try the subject again. I should have listened to
An introductory text in probability. As far as probability goes for most people, this book will be useful. Indeed, this is the recommended textbook to study for the first actuarial examination. The book is rich in examples and exercises that, as usual with probability, make you feel like playing games.On the personal side, I regard this book high because it was the one used as the base to evaluate access to the graduate program in Statistics at the University of São Paulo.
If you love probability.. you will love this book. Concise, detailed and loaded with examples. This is the book that your professor is really teaching you from!
Undergraduate text with lots and lots of really good examples.
it was absolutely booring
Complex.
Good read. Very well written and clear thus far...
When I was much younger I enjoyed going through the book exercises. I loved combinatorics and it served as a good precursor to statistics. I found the material very intuitive.
probability