First Course in Probability, A: Pearson New International Edition Paperback – 31 Jul 2013
Frequently bought together
Customers who bought this item also bought
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.
To get the free app, enter your mobile phone number.
Would you like to tell us about a lower price?
If you are a seller for this product, would you like to suggest updates through seller support?
About the Author
Sheldon M. Ross is a professor in the Department of Industrial Engineering and Operations Research at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences, the Advisory Editor for International Journal of Quality Technology and Quantitative Management, and an Editorial Board Member of the Journal of Bond Trading and Management. He is a Fellow of the Institute of Mathematical Statistics and a recipient of the Humboldt US Senior Scientist Award.--This text refers to an out of print or unavailable edition of this title.
What other items do customers buy after viewing this item?
Top customer reviews
While it contains a plethora of excercises of varying degree of difficulty, it fails to provide a proper introduction of the theory. Too much weight is put on the practical side, such that important theoretical concepts, like for example sigma algebras or Borel sets, are simple left out. Random variables are introduced very vaguely somewhere in the text.
My impression as a mathematician is that it might be suitable for students in applied studies. But it is very unsuitable for math students who want to proceed to advanced topics. This book does NOT prepare for any stochastic or statistical course that builds on prior knowledge of probability theory. Thus it might be a nice excercise book, but students should definitely add other books for a proper understanding of the topics covered.
I gave two stars only for the plenty of interesting excercises.
Would you like to see more reviews about this item?
Look for similar items by category