Introduction to Stochastic Processes with R
Dobrow, Robert P.
Sold by GoldBooks, Denver, CO, U.S.A.
AbeBooks Seller since May 15, 2019
Used - Hardcover
Condition: Used - Fair
Quantity: 1 available
Add to basketSold by GoldBooks, Denver, CO, U.S.A.
AbeBooks Seller since May 15, 2019
Condition: Used - Fair
Quantity: 1 available
Add to basketAcceptable Copy. Customer Service Guaranteed.
Seller Inventory # 24H24_9_1118740653
An introduction to stochastic processes through the use of R
Introduction to Stochastic Processes with R is an accessible and well-balanced presentation of the theory of stochastic processes, with an emphasis on real-world applications of probability theory in the natural and social sciences. The use of simulation, by means of the popular statistical software R, makes theoretical results come alive with practical, hands-on demonstrations.
Written by a highly-qualified expert in the field, the author presents numerous examples from a wide array of disciplines, which are used to illustrate concepts and highlight computational and theoretical results. Developing readers’ problem-solving skills and mathematical maturity, Introduction to Stochastic Processes with R features:
Introduction to Stochastic Processes with R is an ideal textbook for an introductory course in stochastic processes. The book is aimed at undergraduate and beginning graduate-level students in the science, technology, engineering, and mathematics disciplines. The book is also an excellent reference for applied mathematicians and statisticians who are interested in a review of the topic.
"About this title" may belong to another edition of this title.
| Order quantity | 7 to 12 business days | 4 to 6 business days |
|---|---|---|
| First item | US$ 4.25 | US$ 15.00 |
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.