| Subcategories |
 |
Computers & Internet |
|
|
|
|
 |
 |
| |
|
|
|
|
|
Introduction to Probability
written by Dimitri P. Bertsekas
Studio : Athena Scientific
by Athena Scientific
Release Date : 2002-06-24
Publisher : Athena Scientific
Released : 2002-06-24
Availability : Usually ships in 1-2 business days
EAN : 9781886529403
Avg. Customer Rating: (based on 14 reviews)
List Price : $79.00
Our Price : $68.00
|
|
| |
|
Product Description |
|
An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. The book has been widely adopted for classroom use in introductory probability courses within the USA and abroad. |
| |
|
| |
|
Awesome book |
|
Very well written book. Excellent explanation of basic concepts, and I echo the positive reviews of other readers. |
| |
|
Not enough examples |
|
This book is pretty good on theory, but doesn't have enough practical examples to be a standalone text. |
| |
|
Great book, will get even better with the second edition |
This book is generally excellent, with clear explanations and a good balance of rigor and practical application. You won't find proofs of everything, but you will find excellent guidance and intuition through the various topics, especially the fundamentals. The only significant complaint I have is that certain topics are covered too briefly (such as the central limit theorem or stochastic processes) or not at all (e.g. null hypothesis significance testing).
Much of this will be rememedied in a second edition, which will include a welcome added chapter on estimation. We used a preliminary version of the chapter in the probability class for which the book was written, and it's fantastic. It was the most interesting part of the book, and I'm sorry that I didn't wait to buy the book when I could have gotten the final version.
I hope the second edition also fleshes out the chapter on Markov chains, which are presented very tersely, and without the use of linear algebra. Studying Markov chains without using linear algebra is like studying differential equations without the Lapace transform; you can do it but it's much harder than it has to be.
In the end, the terse coverage of certain topics is more than made up for by the fine handling of the basics, and I unreservedly recommend the book for anybody studying the topic for the first time. |
| |
|
The best book of elementary probability |
|
This is a must buy for people who would like to learn elementary probability. The only background you need is basic series and calculus. This is the best probability book I have seen. |
| |
|
Recommended |
|
The shipping was very fast and the book was just as described. I would recommend this seller without hesitation! |
| |
|
|
|
