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eBook A First Course in Probability download

by Sheldon Ross

eBook A First Course in Probability download ISBN: 0024038725
Author: Sheldon Ross
Publisher: Macmillan Coll Div; 4th edition (February 1994)
Language: English
Pages: 473
ePub: 1273 kb
Fb2: 1145 kb
Rating: 4.5
Other formats: azw mbr rtf lit
Category: Math Sciences
Subcategory: Mathematics

Ross, Sheldon M. A rst course in probability, Sheldon Ross

Ross, Sheldon M. A rst course in probability, Sheldon Ross. 8th ed. p. cm. Includes bibliographical references and index. ISBN-13: 978-0-13-603313-4 ISBN-10: 0-13-603313-X 1. oks. This book is intended as an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences (including com-puter science, biology, the social sciences, and management science) who possess the prerequisite knowledge of elementary calculus. It attempts to present not only the mathematics of probability theory, but also, through numerous examples, the many diverse possible applications of this subject.

Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics

in statistics at Stanford University in 1968. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics.

A First Course in Probability book.

A First Course in Probability. 545 Pages · 2008 · . 5 MB · 1,336 Downloads ·English. Probability Theory: A First Course in Probability Theory and Statistics. Since this book was first published in 1972. 41 MB·3,190 Downloads·New!. Thus, the textbook is not only an ideal accompaniment to courses as an introduction to probability. Your First 100 Million. 83 MB·48,314 Downloads. 53 MB·55,384 Downloads·New!

Sheldon Ross University of Southern California.

Sheldon Ross University of Southern California. Boston Columbus Indianapolis New York San Francisco Upper Saddle River. A First Course in Probability 9. This result could also have been obtained by assigning either the number 0 or the number 1 to each element in the set. To each assignment of numbers, there corresponds, in a one-to-one fashion, a subset, namely, that subset consisting of all elements that were assigned the value 1. As there are 2n possible assignments, the result follows.

This market leader is written as an elementary introduction to the mathematical theory of probability for students in mathematics, engineering, and the sciences who possess the prerequisite knowledge of elementary calculus. The exercise sets have been revised to include more simple, mechanical problems and a new section of Self-Test Problems with fully worked out solutions conclude each chapter.

Probability A First Course in Probability. All Slader step-by-step solutions are FREE

Probability A First Course in Probability. All Slader step-by-step solutions are FREE. ISBN: 9780136033134, 013603313X. Can you find your fundamental truth using Slader as a completely free A First Course in Probability solutions manual? YES! Now is the time to redefine your true self using Slader’s free A First Course in Probability answers. Shed the societal and cultural narratives holding you back and let free step-by-step A First Course in Probability textbook solutions reorient your old paradigms. NOW is the time to make today the first day of the rest of your life.

Book solution "A First Course in Probability", Ross Sheldon M. - antwoordenboek. Vrije Universiteit Amsterdam. Kansrekening 1 X 400189. Book titleA First Course in Probability. by. Ross, Sheldon M. Publication date. Upper Saddle River, . inlibrary; printdisabled; ; americana.

This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

Comments: (7)
The book itself is a 3. It's not great, it's not terrible. It's just kind of an unnecessary entry into the library of books on probability.

The e-book, however, gets a 1 due to the DRM. I bought the e-book so I could switch between devices, but for $130, you can read it on a maximum of two devices. Don't have your kindle with you, not at your desktop, and just want to check something on your phone right before an exam? Too bad! All you get is an error message saying that you can't download the book, with no indication of whether or not (or how) you can de-register it from one device to read it on the one you have.

Basically, it's a typical book from Pearson, with all of their greedy publishing practices, and if it's not mandatory that you get this specific one, I would not recommend it.
book for school.good quality, buy an older edition they're all the same. Someone else in my class bought the last edition for like $3. There was only one problem we encountered that was different the whole semester. The material was the same. Don't waste your money, buy the 8th edition. On the other hand, this is a great book to learn probability. Great explanations, examples, problems etc. Also since it is so popular you can find the answers to almost all of the questions on google.
Good as a reference, but probably too hard to follow for new students (I am familiar with the subject so OK for me).

This book looks like a a collection of examples for instructors to choose from. However for students...if you have no prior experiences, it is way too hard to tell which part of a chapter is a must-read. And 400+ pages, even with some omissions, is a terrible workload for both a self-learner or an undergrad student who takes a upper-level math class. A probability textbook does not need to be that verbose.

Also, from chapter 10 I can tell that the author is probably very, very old.......
Like most have said, unless you have a professor that is good at explaining the material, you'll be screwed in whatever class you need this for. As a person with an Engineering degree and significant experience in high-level mathematics, you'd think I'd be able to comprehend this book. Here are my primary issues with the book:

1) The explanations are worded in the most vague fashion possible. While I enjoy brevity, it's best left to simple topics and books where the reader already has a baseline understanding of the material.

2) The exercises prefer quantity over quality. It's great if you have a book with a ton of options to improve your understanding of the material, however there are exercises in each section that seemingly have nothing to do with anything in that section, especially in the early chapters.

3) It seems that all of the exercises are intentionally designed to trick the reader. Again, if this were an advanced probability course I could understand it, but it's hard enough to get a grasp on the concepts with the terrible explanations in the chapters without having intentionally misleading questions.

I couldn't imagine being a sophomore or junior in college and taking this course. Our university only requires Calc 2 as a prerequisite and that is definitely not enough information. Be prepared to go to office hours frequently or find another textbook to supplement this one.
heart of sky
The issue with this book is pretty simple. It has the best problem set anyone could probably hope for, but the most obscure text. So use this book by doing lots of problems, but consult tutorials, notes, or a simpler book for a better explanation of the concepts.
This book is not for beginners, and the title is misleading. The book is only for those who need to learn deep probability theories and try to solve theoretical problems. If you are an engineer or computer science student, you better go to online courses. I'd not recommend this book unless you have a really great professor.
I have mixed feelings about this book. Being an introductory probability text, it does a good job of presenting the basic concept followed by lots of examples. But if you look at some of the examples closely, they are rather hard (especailly beginners seeing it for the first time). Fortunately for me, I have learned the concepts elsewhere before so I can see why it can be quite challenging for newbies.

Also, some students may not have exposure to induction, recursion, writing proofs, etc. - it will help if the instructor would guide them through the steps since many of the combinatorics problems would involve the use of them.

Another book at the same level as Ross's that I like is John Rice's ` Mathematical statistics and data analysis `. For the mathematically inclined student, I would also suggest mathematical probability book like William Feller's.
The exercises tend to be worded in a very convoluted manner. It is often difficult to figure out exactly what is being asked. For example: “How many outcome sequences are possible when a die is rolled four times, where we say, for instance, that the outcome is 3, 4, 3, 1 if the first roll landed on 3, the second on 4, the third on 3, and the fourth on 1?”
All this simply to ask, “How many outcomes are possible when a dice is rolled four times?”