A First Course in Probability

by Sheldon M. Ross

This introduction presents the mathematical theory of probability for readers in the fields of engineering and the sciences who possess knowledge of elementary calculus. Presents new examples and exercises throughout. Offers a new section that presents an elegant way of computing the moments of random variables defined as the number of events that occur. Gives applications to binomial, hypergeometric, and negative hypergeometric random variables, as well as random variables resulting from coupon collecting and match models. Provides additional results on inclusion-exclusion identity, Poisson paradigm, multinomial distribution, and bivariate normal distribution A useful reference for engineering and science professionals.

Genres: Mathematics, Textbooks, Reference, Academic, Computer Science, Nonfiction, Science

565 pages, Hardcover

First published January 1, 1976

About the author

Sheldon M. Ross is the Epstein Chair Professor at the Department of Industrial and Systems Engineering, University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968 and was formerly a Professor at the University of California, Berkeley, from 1976 until 2004. He has published more than 100 articles and a variety of textbooks in the areas of statistics and applied probability, including Topics in Finite and Discrete Mathematics (2000), Introduction to Probability and Statistics for Engineers and Scientists, 4th edition (2009), A First Course in Probability, 8th edition (2009), and Introduction to Probability Models, 10th edition (2009), among others. Dr Ross serves as the editor for Probability in the Engineering and Informational Sciences.

Reviews

[parmis khojaste bakht]

3.5
کتابیه که بحث های احتمال دانشگاهی رو پوشش می ده. لحن راحت و شیرینی داره و هر کس می تونه به تنهایی بخونتش و بفهمتش. برای کسایی که علاقمند به هوش مصنوعی هستند کتاب مفیدیه چون پیش نیاز هوش مصنوعیه. همین طور به افراد خارج از این حوزه، می‌تونه دید جدیدی بده و دریچه جدیدی رو باز کنه. مباحث احتمال به طور کلی در زندگی بسیار کاربرد دارند.
تنها ایرادی که می‌تونم بگیرم اینه که خیلی اوقات مسایل رو مفهومی بیان نمی کنه و صرفا از طریق ریاضی اون ها رو اثبات می کنه. در حالی که بیان شهودی فهم رو برای خواننده بهتر می کنه.
اگر خواستید به سراغش برید توصیه می‌کنم سراغ ترجمه‌اش نرید که زبانش سخته و حذفیاتش زیاده. انگلیسیش روان تره.